66 Netezza Jobs

We are looking Delivery Manager With DWH Location: Chennai, Noida & Bangalore Required Skills: 12+ Years of experience in managing delivery of Data Warehouse Projects (Development & Modernization/Migration). Strong Delivery background with experience in managing large complex Data Warehouse engagements. Good to have experience on Snowflake, Matillion, DBT, Netezza/DataStage and Oracle. Healthcare Payer Industry experience Extensive experience in Program/Project Management, Iterative, Waterfall and Agile Methodologies. Ability to track and manage complex program budgets Experience in managing the delivery of complex programs to meet the needs and the required timelines set for the defined programs. Communicate program review results to various stakeholders. Experience in building the team, providing guidance, and education as needed to ensure the success of priority programs and promote cross-training within the department. Experience in developing and managing an integrated program plans that incorporate both technical and business deliverables. Verify that critical decision gates are well defined, communicated and monitored for executive approval throughout the program. Verify that work supports the corporate strategic direction. Review resulting vendor proposals and estimates to ensure they satisfy both our functional requirements and technology strategies. Project management methodologies, processes, and tools. Knowledge of Project Development Life Cycle Establish and maintain strong working relationships with various stakeholders including team members, IT resources, resources in other areas of the business and upper management Ability to track and manage complex program budgets Strong business acumen and political savvy Ability to collaborate while dealing with complex situations Ability to think creatively and to drive innovation Ability to motivate, lead and inspire a diverse group to a common goal/solution with multiple stakeholders Ability to convert business strategy into action oriented objectives and measurable results Strong negotiating, influencing, and consensus-building skills Ability to mentor, coach and provide guidance to others Responsibilities: Responsible for the end to end delivery of the Application Development and Support services for the client Coordinate with Enterprise Program Management Office to execute programs following defined standards and governance structure to ensure alignment to the approved project development life cycle (PDLC). Interface regularly with key senior business leaders to enable a smooth transition from strategy development to program identification and execution. Facilitate meetings with task groups or functional areas as required for EPMO supported initiatives and/or to resolve issues. Proactively engage other members of the organization with specific subject knowledge to resolve issues or provide assistance. Lead post implementation review of major initiatives to provide lessons learned and continuous improvement. Develop accurate and timely summary report for executive management that provide consolidated, clear, and concise assessments of strategic initiatives implementation status. Collaborate with business owners to develop divisional business plans that support the overall strategic direction. Supports budget allocation process through ongoing financial tracking reports. Develop & maintain service plans considering the customer requirements. Track and monitor to ensure the adherence to SLA/KPIs Identify opportunities for improvement to service delivery process. Address service delivery issues/escalations/complaints. First point of escalation for customer escalations Oversee shift management for various tracks. Responsible for publishing production support reports & metrics Best Regards, Sanjay Kumar

Key Responsibilities • ARCHITECTURE AND DESIGN FOR DATA ENGINEERING AND MACHINE LEARNING PROJECTS Establishing architecture and target design for data engineering and machine learning projects. • REQUIREMENT ANALYSIS, PLANNING, EFFORT AND RESOURCE NEEDS ESTIMATION Current inventory analysis, review and formalize requirements, project planning and execution plan. • ADVISORY SERVICES AND BEST PRACTICES Troubleshooting, Performance Tuning, Cost Optimization, Operational Runbooks and Mentoring • LARGE MIGRATIONS Assist customers with large migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc • DESIGN, BUILD AND OPTIMIZE DATA PIPELINES The Databricks implementation will be best in class, with flexibility for future iterations. • PRODUCTION READINESS Assisting with production readiness for customers, including exception handling, production cutover, capture analysis, alert scheduling and monitoring • MACHINE LEARNING (ML) – MODEL REVIEW, TUNING, ML OPERATIONS AND OPTIMIZATION Build and review ML models, ML best practices, model lifecycle, ML frameworks and deploying of models in production. Must Have: ▪ Pre- Sales experience is a must. ▪ Hands on experience with distributed computing framework like DataBricks, Spark Ecosystem (Spark Core, PySpark, Spark Streaming, SparkSQL) ▪ Willing to work with product teams to best optimize product features/functions. ▪ Experience on Batch workloads and real time streaming with high volume data frequency. ▪ Performance optimization on Spark workloads ▪ Environment setup, user management, Authentication and cluster management on Databricks ▪ Professional curiosity and the ability to enable yourself in new technologies and tasks. ▪ Good understanding of SQL and a good grasp of relational and analytical database management theory and practice. Key Skills: • Python, SQL and Pyspark • Big Data Ecosystem (Hadoop, Hive, Sqoop, HDFS, Hbase) • Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks • Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse) • AWS (Lambda,AWS Glue, S3, Redshift) • Data Modelling, ETL Methodology

Looking for a specialized Data engineer who focuses on building and maintaining data pipelines to collect, process, and analyze large volumes of transaction data specifically for the purpose of detecting and preventing fraudulent activity within a company's payment systems. As a Senior Data Engineer Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling. Design and develop data pipelines to automate repetitive tasks within data science and data engineering. Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems. Partner with software engineering teams to deploy and validate production artifacts. Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams. Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain. Comfortable leading projects in environments with undefined or loose requirements. Qualifications Bachelor’s degree in computer science, Information Systems, or another related field. 7 to 9 years of experience in Data Engineering and implementing multiple end-to-end DW projects in a Big Data environment. ​ Experience in building data pipelines through Spark with Java/Scala on Hadoop or Object storage. ​Experience working with Databases like Oracle, and Netezza and have strong SQL knowledge. ​Experience working on Nifi will be an added advantage. ​Experience working with APIs will be an added advantage. Experience and working in a Unix environment is an added advantage. ​Strong analytical skills are required for debugging production issues, providing root causes, and implementing the mitigation plan. ​Ability to multi-task across multiple projects, interface with external/internal resources, and provide technical leadership to junior team members. ​Flexibility to work as a member of matrix-based diverse and geographically distributed project teams. ​Experience of working in Agile teams.

Strong experience in Netezza and Oracle with ability to write complex SQL queries. Expertise in Netezza & Oracle with strong SQL ensuring data integrity, data security and data quality. Good understanding on latest trends and best practices in data engineering & ETL tools Good knowledge on Stored Procedures and Data Modeling Excellent interpersonal and communication skill At least 3-5 years experience working in the healthcare payor domain, with a focus on data governance, HIPAA compliance, and healthcare-related data processing.

The future is our choice At Atos, as the global leader in secure and decarbonized digital, our purpose is to help design the future of the information space. Together we bring the diversity of our people’s skills and backgrounds to make the right choices with our clients, for our company and for our own futures. Roles & Responsibilities Lead the modernization of operational databases, transitioning from traditional systems (Netezza, Teradata) to modern architectures. Design and implement scalable NoSQL solutions, with a focus on Cassandra. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Provide technical leadership and mentorship to database administrators and developers. Requirements 10+ years of experience in creating Data Platform Solutions Expertise in Teradata SQL, data modeling, ETL tools, and database performance tuning. Must have 3+ experience in NoSQL data modelling using DataStax-Cassandra 5+ years of experience in implementing Data Lakes in Hadoop, Cloud Good knowledge of NoSQL database architectures Design and develop large-scale (multi-terabyte) data architecture for scalable technical solutions in the areas of data management, data processing, performance optimization while handling data volume, variety and velocity Good Knowledge of best practices and hands on experience for data storage, loading and consumption data from data lakes. Hands on Experience in Spark Programming – PySpark & Scala Good knowledge and experience in Kafka implementations Experience of streaming data ingestion and processing using tools like Flink, Spark Streaming, Storm, Flume Experience in orchestration tools like Airflow, Oozie Good Knowledge/Experience of Cloudera Data Platform (CDP) Experience of working on proposals, customer workshops, assessments etc is preferred Must have good communication and presentation skills Databases - DataStax-Cassandra , Teradata, Netezza Our Offering Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment. Wellbeing programs & work-life balance - integration and passion sharing events. Attractive Salary and Company Initiative Benefits Courses and conferences. Attractive Salary. Hybrid work culture. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.

Introduction Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of Your Role And Responsibilities This Candidate is responsible for DB2 installation and configuration on the below environments. On Prem Multi Cloud Redhat Open shift Cluster HADR Non-DPF and DPF. Migration of other databases to Db2(eg TERADATA / SNOWFLAKE / SAP/ Cloudera to db2 migration) Create high-level designs, detail level designs, maintaining product roadmaps which includes both modernization and leveraging cloud solutions Design scalable, performant, and cost-effective data architectures within the Lakehouse to support diverse workloads, including reporting, analytics, data science, and AI/ML. Perform health check of the databases, make recommendations and deliver tuning. At the Database and system level. Deploy DB2 databases as containers within Red Hat OpenShift clusters Configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Lead the architectural design and implementation of solutions on IBM watsonx.data, ensuring alignment with overall enterprise data strategy and business objectives. Define and optimize the watsonx.data ecosystem, including integration with other IBM watsonx components (watsonx.ai, watsonx.governance) and existing data infrastructure (DB2, Netezza, cloud data sources) Establish best practices for data modeling, schema evolution, and data organization within the watsonx.data lakehouse Act as a subject matter expert on Lakehouse architecture, providing technical leadership and guidance to data engineering, analytics, and development teams. Mentor junior architects and engineers, fostering their growth and knowledge in modern data platforms. Participate in the development of architecture governance processes and promote best practices across the organization. Communicate complex technical concepts to both technical and non-technical stakeholders. Required Technical And Professional Expertise 8+years of experience in data architecture, data engineering, or a similar role, with significant hands-on experience in cloud data platforms Strong proficiency in DB2, SQL and Python. Strong understanding of: Database design and modelling(dimensional, normalized, NoSQL schemas) Normalization and indexing Data warehousing and ETL processes Cloud platforms (AWS, Azure, GCP) Big data technologies (e.g., Hadoop, Spark) Database Migration project experience from one database to another database (target database Db2). Experience in deployment of DB2 databases as containers within Red Hat OpenShift clusters and configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Excellent communication, collaboration, problem-solving, and leadership skills Preferred Technical And Professional Experience Experience with machine learning environments and LLMs Certification in IBM watsonx.data or related IBM data and AI technologies Hands-on experience with Lakehouse platform (e.g., Databricks, Snowflake) Having exposure to implement or understanding of DB replication process Experience with integrating watsonx.data with GenAI or LLM initiatives (e.g., RAG architectures). Experience with NoSQL databases (e.g., MongoDB, Cassandra). Show more Show less

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Changes, across AWS, Azure & Google Cloud Platforms. Few core responsibilities though not limited to would be as below. The Cloud Ops Administrator is responsible for managing Teradata’s as-a-Service offering on public cloud (AWS/Azure/GC) Delivery responsibilities in the areas of cloud network administration, security administration, instantiation, provisioning, optimizing the environment, third party software support. Supporting the onsite teams with migration from On premise to Cloud for customers Implementing security best practices, and analyzing the partner compatibility Manages and coordinates all activities necessary to implement the Changes in the environment. Ensures Change status, progress and issues are communicated to the appropriate groups. Views and implements the process lifecycle and reports to upper management. Evaluates performance metrics against the critical success factors and assures actions for streamline the process. Perform Change related activities documented in the Change Request to ensure the Change is implemented according to plan Document closure activities in the Change record and completing the Change record Escalate any deviations from plans to appropriate TLs/Managers Provide input for the ongoing improvement of the Change Management process Manage and support 24x7 VaaS environments for multiple customers. Devise and implement security, operations best practices. Implementing development, production environment for data warehousing cloud environment Backup, Archive and Recovery planning and execution of the cloud-based data warehouses across all the platforms AWS/Azure/GC resources. Ensuring SLA are met during implementing the change Ensure all scheduled changes are implemented within the prescribed window First level of escalation for team members First level of help/support for team members Who You’ll Work This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Cases, Incidents, Changes, across Azure & Google Cloud Platforms. This will be reporting into Delivery Manager for Change Ops What Makes You a Qualified Candidate Minimum 6-8 years of IT experience in a Systems Administrator / Engineer role. Minimum 4 years of Cloud hands-on experience (Azure/AWS/GCP). Cloud Certification ITIL or other relevant certifications are desirable Service Now / ITSM tool day to day Operations Must be willing to provide 24x7 on-call support on a rotational basis with the team. Must be willing to travel – both short-term and long-term What You’ll Bring 4 Year Engineering Degree or 3 Year Masters of Computer Application. Excellent oral and written communication skills in the English language Must be willing to provide 24x7 on-call support on a rotational basis with the team. Must be willing to travel – both short-term and long-term Teradata/DBMS Experience Hands on experience with Teradata administration and strong understanding of Cloud capabilities and limitations Thorough understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape Implement and support new and existing customers on VaaS infrastructure. Thorough understanding of infrastructure (firewalls, load balancers, hypervisor, storage, monitoring, security etc. ) and have experience with orchestration to develop a cloud solution. Should have good knowledge of cloud services for Compute, Storage, Network and OS for at least one of the following cloud platforms: Azure Managed responsibilities as a Shift lead Should have experience in Enterprise VPN and Azure virtual LAN with data center Knowledge of monitoring, logging and cost management tools Hands-on experience with database architecture/modeling, RDBMS and No-SQL. Should have good understanding of data archive/restore policies. Teradata Basic If certified with VMware skills will be added advantage. Working experience in Linux administration, Shell Scripting. Working experience on any of the RDBMS like Oracle//DB2/Netezza/Teradata/SQL Server,MySQL. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Changes, across AWS, Azure & Google Cloud Platforms. Few core responsibilities though not limited to would be as below. The Cloud Ops Administrator is responsible for managing Teradata’s as-a-Service offering on public cloud (AWS/Azure/GC) Delivery responsibilities in the areas of cloud network administration, security administration, instantiation, provisioning, optimizing the environment, third party software support. Supporting the onsite teams with migration from On premise to Cloud for customers Implementing security best practices, and analyzing the partner compatibility Manages and coordinates all activities necessary to implement the Changes in the environment. Ensures Change status, progress and issues are communicated to the appropriate groups. Views and implements the process lifecycle and reports to upper management. Evaluates performance metrics against the critical success factors and assures actions for streamline the process. Perform Change related activities documented in the Change Request to ensure the Change is implemented according to plan Document closure activities in the Change record and completing the Change record Escalate any deviations from plans to appropriate TLs/Managers Provide input for the ongoing improvement of the Change Management process Manage and support 24x7 VaaS environments for multiple customers. Devise and implement security, operations best practices. Implementing development, production environment for data warehousing cloud environment Backup, Archive and Recovery planning and execution of the cloud-based data warehouses across all the platforms AWS/Azure/GC resources. Ensuring SLA are met during implementing the change Ensure all scheduled changes are implemented within the prescribed window First level of escalation for team members First level of help/support for team members Who You’ll Work This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Cases, Incidents, Changes, across Azure & Google Cloud Platforms. This will be reporting into Delivery Manager for Change Ops What Makes You a Qualified Candidate Minimum 6-8 years of IT experience in a Systems Administrator / Engineer role. Minimum 4 years of Cloud hands-on experience (Azure/AWS/GCP). Cloud Certification ITIL or other relevant certifications are desirable Service Now / ITSM tool day to day Operations Must be willing to provide 24x7 on-call support on a rotational basis with the team. Must be willing to travel – both short-term and long-term What You’ll Bring 4 Year Engineering Degree or 3 Year Masters of Computer Application. Excellent oral and written communication skills in the English language Must be willing to provide 24x7 on-call support on a rotational basis with the team. Must be willing to travel – both short-term and long-term Teradata/DBMS Experience Hands on experience with Teradata administration and strong understanding of Cloud capabilities and limitations Thorough understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape Implement and support new and existing customers on VaaS infrastructure. Thorough understanding of infrastructure (firewalls, load balancers, hypervisor, storage, monitoring, security etc. ) and have experience with orchestration to develop a cloud solution. Should have good knowledge of cloud services for Compute, Storage, Network and OS for at least one of the following cloud platforms: Azure Managed responsibilities as a Shift lead Should have experience in Enterprise VPN and Azure virtual LAN with data center Knowledge of monitoring, logging and cost management tools Hands-on experience with database architecture/modeling, RDBMS and No-SQL. Should have good understanding of data archive/restore policies. Teradata Basic If certified with VMware skills will be added advantage. Working experience in Linux administration, Shell Scripting. Working experience on any of the RDBMS like Oracle//DB2/Netezza/Teradata/SQL Server,MySQL. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Introduction Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business. Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us. Your Role And Responsibilities This Candidate is responsible for: DB2 installation and configuration on the below environments. On Prem Multi Cloud Redhat Open shift Cluster HADR Non-DPF and DPF. Migration of other databases to Db2(eg TERADATA / SNOWFLAKE / SAP/ Cloudera to db2 migration) Create high-level designs, detail level designs, maintaining product roadmaps which includes both modernization and leveraging cloud solutions Design scalable, performant, and cost-effective data architectures within the Lakehouse to support diverse workloads, including reporting, analytics, data science, and AI/ML. Perform health check of the databases, make recommendations and deliver tuning. At the Database and system level. Deploy DB2 databases as containers within Red Hat OpenShift clusters Configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Lead the architectural design and implementation of solutions on IBM watsonx.data, ensuring alignment with overall enterprise data strategy and business objectives. Define and optimize the watsonx.data ecosystem, including integration with other IBM watsonx components (watsonx.ai, watsonx.governance) and existing data infrastructure (DB2, Netezza, cloud data sources) Establish best practices for data modeling, schema evolution, and data organization within the watsonx.data lakehouse Act as a subject matter expert on Lakehouse architecture, providing technical leadership and guidance to data engineering, analytics, and development teams. Mentor junior architects and engineers, fostering their growth and knowledge in modern data platforms. Participate in the development of architecture governance processes and promote best practices across the organization. Communicate complex technical concepts to both technical and non-technical stakeholders. Required Technical And Professional Expertise 15+ years of experience in data architecture, data engineering, or a similar role, with significant hands-on experience in cloud data platforms Strong proficiency in DB2, SQL and Python. Strong understanding of: Database design and modelling(dimensional, normalized, NoSQL schemas) Normalization and indexing Data warehousing and ETL processes Cloud platforms (AWS, Azure, GCP) Big data technologies (e.g., Hadoop, Spark) Database Migration project experience from one database to another database (target database Db2). Experience in deployment of DB2 databases as containers within Red Hat OpenShift clusters and configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Excellent communication, collaboration, problem-solving, and leadership skills. Preferred Technical And Professional Experience Experience with machine learning environments and LLMs Certification in IBM watsonx.data or related IBM data and AI technologies Hands-on experience with Lakehouse platform (e.g., Databricks, Snowflake) Having exposure to implement or understanding of DB replication process Experience with integrating watsonx.data with GenAI or LLM initiatives (e.g., RAG architectures). Experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience in data modeling tools (e.g., ER/Studio, ERwin). Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA). soft skills. Show more Show less

Introduction Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business. Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us. Your Role And Responsibilities This Candidate is responsible for: DB2 installation and configuration on the below environments. On Prem Multi Cloud Redhat Open shift Cluster HADR Non-DPF and DPF. Migration of other databases to Db2(eg TERADATA / SNOWFLAKE / SAP/ Cloudera to db2 migration) Create high-level designs, detail level designs, maintaining product roadmaps which includes both modernization and leveraging cloud solutions Design scalable, performant, and cost-effective data architectures within the Lakehouse to support diverse workloads, including reporting, analytics, data science, and AI/ML. Perform health check of the databases, make recommendations and deliver tuning. At the Database and system level. Deploy DB2 databases as containers within Red Hat OpenShift clusters Configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Lead the architectural design and implementation of solutions on IBM watsonx.data, ensuring alignment with overall enterprise data strategy and business objectives. Define and optimize the watsonx.data ecosystem, including integration with other IBM watsonx components (watsonx.ai, watsonx.governance) and existing data infrastructure (DB2, Netezza, cloud data sources) Establish best practices for data modeling, schema evolution, and data organization within the watsonx.data lakehouse Act as a subject matter expert on Lakehouse architecture, providing technical leadership and guidance to data engineering, analytics, and development teams. Mentor junior architects and engineers, fostering their growth and knowledge in modern data platforms. Participate in the development of architecture governance processes and promote best practices across the organization. Communicate complex technical concepts to both technical and non-technical stakeholders. Required Technical And Professional Expertise 15+ years of experience in data architecture, data engineering, or a similar role, with significant hands-on experience in cloud data platforms Strong proficiency in DB2, SQL and Python. Strong understanding of: Database design and modelling(dimensional, normalized, NoSQL schemas) Normalization and indexing Data warehousing and ETL processes Cloud platforms (AWS, Azure, GCP) Big data technologies (e.g., Hadoop, Spark) Database Migration project experience from one database to another database (target database Db2). Experience in deployment of DB2 databases as containers within Red Hat OpenShift clusters and configure containerized database instances, persistent storage, and network settings to optimize performance and reliability. Excellent communication, collaboration, problem-solving, and leadership skills Preferred Technical And Professional Experience Experience with machine learning environments and LLMs Certification in IBM watsonx.data or related IBM data and AI technologies Hands-on experience with Lakehouse platform (e.g., Databricks, Snowflake) Having exposure to implement or understanding of DB replication process Experience with integrating watsonx.data with GenAI or LLM initiatives (e.g., RAG architectures). Experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience in data modeling tools (e.g., ER/Studio, ERwin). Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA).Soft Skills Show more Show less

As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive technical conversations with decision makers using demos and PoCs to influence solution design and enable production deployments. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums Qualifications Preffered 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2. Or 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and other cloud products (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums Qualifications 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2. OR 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. - Grade Specific The role support the team in building and maintaining data infrastructure and systems within an organization. Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of "22.5 billion.

Solution Engineer - Data & AI Mumbai, Maharashtra, India Date posted Jun 16, 2025 Job number 1830869 Work site Up to 50% work from home Travel 25-50 % Role type Individual Contributor Profession Technology Sales Discipline Technology Specialists Employment type Full-Time Overview As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2. OR 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Responsibilities Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Solution Engineer - Cloud & Data AI Gurgaon, Haryana, India Date posted Jun 16, 2025 Job number 1830866 Work site Up to 50% work from home Travel 25-50 % Role type Individual Contributor Profession Technology Sales Discipline Technology Specialists Employment type Full-Time Overview As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Preffered 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2. Or 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and other cloud products (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Responsibilities Drive technical conversations with decision makers using demos and PoCs to influence solution design and enable production deployments. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : IBM Netezza Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in IBM Netezza. - Good To Have Skills: Experience with data warehousing concepts and practices. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data modeling and database design principles. - Experience with performance tuning and optimization of data queries. Additional Information: - The candidate should have minimum 7.5 years of experience in IBM Netezza. - This position is based in Pune. - A 15 years full time education is required. 15 years full time education Show more Show less

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: Netezza Developer Preferred Skills: Technology-> Data Management - Data Store-> Netezza

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Changes, across AWS, Azure & Google Cloud Platforms. Few core responsibilities though not limited to would be as below. The Cloud Ops Administrator is responsible for managing Teradata’s as-a-Service offering on public cloud (AWS/Azure/GC) Delivery responsibilities in the areas of cloud network administration, security administration, instantiation, provisioning, optimizing the environment, third party software support. Supporting the onsite teams with migration from On premise to Cloud for customers Implementing security best practices, and analyzing the partner compatibility Manages and coordinates all activities necessary to implement the Changes in the environment. Ensures Change status, progress and issues are communicated to the appropriate groups. Views and implements the process lifecycle and reports to upper management. Evaluates performance metrics against the critical success factors and assures actions for streamline the process. Perform Change related activities documented in the Change Request to ensure the Change is implemented according to plan Document closure activities in the Change record and completing the Change record Escalate any deviations from plans to appropriate TLs/Managers Provide input for the ongoing improvement of the Change Management process Manage and support 24x7 VaaS environments for multiple customers. Devise and implement security, operations best practices. Implementing development, production environment for data warehousing cloud environment Backup, Archive and Recovery planning and execution of the cloud-based data warehouses across all the platforms AWS/Azure/GC resources. Ensuring SLA are met during implementing the change Ensure all scheduled changes are implemented within the prescribed window First level of escalation for team members First level of help/support for team members Who You’ll Work This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Cases, Incidents, Changes, across Azure & Google Cloud Platforms. This will be reporting into Delivery Manager for Change Ops What Makes You a Qualified Candidate Minimum 2-3 years of IT experience in a Systems Administrator / Engineer role. Minimum 1 years of Cloud hands-on experience (Azure/AWS/GCP). Cloud Certification ITIL or other relevant certifications are desirable Service Now / ITSM tool day to day Operations Must be willing to provide 24x7 on-call support on a rotational basis with the team. Must be willing to travel – both short-term and long-term What You’ll Bring 4 Year Engineering Degree or 3 Year Masters of Computer Application. Excellent oral and written communication skills in the English language Teradata/DBMS Experience Hands on experience with Teradata administration and strong understanding of Cloud capabilities and limitations Thorough understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape Implement and support new and existing customers on VaaS infrastructure. Thorough understanding of infrastructure (firewalls, load balancers, hypervisor, storage, monitoring, security etc. ) and have experience with orchestration to develop a cloud solution. Should have good knowledge of cloud services for Compute, Storage, Network and OS for at least one of the following cloud platforms: Azure Managed responsibilities as a Shift lead Should have experience in Enterprise VPN and Azure virtual LAN with data center Knowledge of monitoring, logging and cost management tools Hands-on experience with database architecture/modeling, RDBMS and No-SQL. Should have good understanding of data archive/restore policies. Teradata Basic If certified with VMware skills will be added advantage. Working experience in Linux administration, Shell Scripting. Working experience on any of the RDBMS like Oracle//DB2/Netezza/Teradata/SQL Server,MySQL. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Changes, across AWS, Azure & Google Cloud Platforms. Few core responsibilities though not limited to would be as below. The Cloud Ops Administrator is responsible for managing Teradata’s as-a-Service offering on public cloud (AWS/Azure/GC) Delivery responsibilities in the areas of cloud network administration, security administration, instantiation, provisioning, optimizing the environment, third party software support. Supporting the onsite teams with migration from On premise to Cloud for customers Implementing security best practices, and analyzing the partner compatibility Manages and coordinates all activities necessary to implement the Changes in the environment. Ensures Change status, progress and issues are communicated to the appropriate groups. Views and implements the process lifecycle and reports to upper management. Evaluates performance metrics against the critical success factors and assures actions for streamline the process. Perform Change related activities documented in the Change Request to ensure the Change is implemented according to plan Document closure activities in the Change record and completing the Change record Escalate any deviations from plans to appropriate TLs/Managers Provide input for the ongoing improvement of the Change Management process Manage and support 24x7 VaaS environments for multiple customers. Devise and implement security, operations best practices. Implementing development, production environment for data warehousing cloud environment Backup, Archive and Recovery planning and execution of the cloud-based data warehouses across all the platforms AWS/Azure/GC resources. Ensuring SLA are met during implementing the change Ensure all scheduled changes are implemented within the prescribed window First level of escalation for team members First level of help/support for team members Who You’ll Work This Role will mainly be working as part of Change Ops for the Cloud Ops L2 team, which is eventually responsible for all Cases, Incidents, Changes, across Azure & Google Cloud Platforms. This will be reporting into Delivery Manager for Change Ops What Makes You a Qualified Candidate Minimum 2-3 years of IT experience in a Systems Administrator / Engineer role. Minimum 1 years of Cloud hands-on experience (Azure/AWS/GCP). Cloud Certification ITIL or other relevant certifications are desirable Service Now / ITSM tool day to day Operations Must be willing to provide 24x7 on-call support on a rotational basis with the team. Must be willing to travel – both short-term and long-term What You’ll Bring 4 Year Engineering Degree or 3 Year Masters of Computer Application. Excellent oral and written communication skills in the English language Teradata/DBMS Experience Hands on experience with Teradata administration and strong understanding of Cloud capabilities and limitations Thorough understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape Implement and support new and existing customers on VaaS infrastructure. Thorough understanding of infrastructure (firewalls, load balancers, hypervisor, storage, monitoring, security etc. ) and have experience with orchestration to develop a cloud solution. Should have good knowledge of cloud services for Compute, Storage, Network and OS for at least one of the following cloud platforms: Azure Managed responsibilities as a Shift lead Should have experience in Enterprise VPN and Azure virtual LAN with data center Knowledge of monitoring, logging and cost management tools Hands-on experience with database architecture/modeling, RDBMS and No-SQL. Should have good understanding of data archive/restore policies. Teradata Basic If certified with VMware skills will be added advantage. Working experience in Linux administration, Shell Scripting. Working experience on any of the RDBMS like Oracle//DB2/Netezza/Teradata/SQL Server,MySQL. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Position: Database Location: Noida, India www.SEW.ai Who We Are: SEW, with its innovative and industry-leading cloud platforms, delivers the best Digital Customer Experiences (CX) and Workforce Experiences (WX), powered by AI, ML, and IoT Analytics to the global energy, water, and gas providers. At SEW, the vision is to Engage, Empower, and Educate billions of people to save energy and water. We partner with businesses to deliver platforms that are easy-to-use, integrate seamlessly, and help build a strong technology foundation that allows them to become future- ready. Searching for your dream job? We are a true global company that values building meaningful relationships and maintaining a passionate work environment while fostering innovation and creativity. At SEW, we firmly believe that each individual contributes to our success and in return, we provide opportunities from them to learn new skills and build a rewarding professional career. A Couple of Pointers: • We are the fastest growing company with over 420+ clients and 1550+ employees. • Our clientele is based out in the USA, Europe, Canada, Australia, Asia Pacific, Middle East • Our platforms engage millions of global users, and we keep adding millions every month. • We have been awarded 150+ accolades to date. Our clients are continually awarded by industry analysts for implementing our award-winning product. • We have been featured by Forbes, Wall Street Journal, LA Times for our continuous innovation and excellence in the industry. Who we are looking? An ideal candidate who must demonstrate in-depth knowledge and understanding of RDBMS concepts and experienced in writing complex queries and data integration processes in SQL/TSQL and NoSQL. T his individual will be responsible for helping the design, development and implementation of new and existing applications. Roles and Responsibilities: • Reviews the existing database design and data management procedures and provides recommendations for improvement • Responsible for providing subject matter expertise in design of database schemes and performing data modeling (logical and physical models), for product feature enhancements as well as extending analytical capabilities. •Develop technical documentation as needed. • Architect, develop, validate and communicate Business Intelligence (BI) solutions like dashboards, reports, KPIs, instrumentation, and alert tools. • Define data architecture requirements for cross-product integration within and across cloud-based platforms. • Analyze, architect, develop, validate and support integrating data into the SEW platform from external data source; Files (XML, CSV, XLS, etc.), APIs (REST, SOAP), RDBMS. • Perform thorough analysis of complex data and recommend actionable strategies. • Effectively translate data modeling and BI requirements into the design process. • Big Data platform design i.e. tool selection, data integration, and data preparation for predictive modeling • Required Skills: • Minimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models. • 2-3 years of experience in Extraction, Transformation and Loading ETL work using data migration tools like Talend, Informatica, Datastage, etc. • 4-6 years of experience as a database developer in Oracle, MS SQL or other enterprise database with focus on building data integration processes. • Candidate should have any NoSql technology exposure preferably MongoDB. • Experience in processing large data volumes indicated by experience with Big Data platforms (Teradata, Netezza, Vertica or Cloudera, Hortonworks, SAP HANA, Cassandra, etc.). • Understanding data warehousing concepts and decision support systems. • Ability to deal with sensitive and confidential material and adhere to worldwide data security and Experience writing documentation for design and feature requirements. • Experience developing data-intensive applications on cloud-based architectures and infrastructures such as AWS, Azure etc. • Excellent communication and collaboration skill Show more Show less

Consulting Manager JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Responsibility Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools . provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. Primary Skills knowledge specially in Risk or finance technology area Strong SQL knowledge, involving complex joins and analytical functions Good understanding of Data Flow , Data Model and database applications working knowledge of Databases like Oracle and Netezza Secondary Skills Conceptual knowledge of ETL and datawarehousing, working knowledge is added advantage Basic knowledge of Java is added advantage JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Responsibility Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools . provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Consulting Manager JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Responsibility Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools . provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. Primary Skills knowledge specially in Risk or finance technology area Strong SQL knowledge, involving complex joins and analytical functions Good understanding of Data Flow , Data Model and database applications working knowledge of Databases like Oracle and Netezza Secondary Skills Conceptual knowledge of ETL and datawarehousing, working knowledge is added advantage Basic knowledge of Java is added advantage JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requirements, identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools .He will provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on this basis .He works with large amounts of data: facts, figures, and number crunching. Responsibility Perform thorough analysis and articulation of risk or Finance Tech model data requirements, Identification and understanding of specific data quality issues to ensure effective delivery data to the users using standard tools . provide analysis of internal and external regulations (credit risk) and preparation of functional documentation on external regulations (credit risk) Need to work with large amounts of data: facts, figures, and number crunching. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Sr. Software Development Engineer (Big Data Engineer) Overview Job Description Summary Mastercard is a technology company in the Global Payments Industry. We operate the world’s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard products and solutions make everyday commerce activities – such as shopping, travelling, running a business and managing finances – easier, more secure and more efficient for everyone. Mastercard’s Data & Services team is a key differentiator for MasterCard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this dynamic team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation, and data-driven information and risk management services. We are currently seeking a Software Development Engineer-II for Location Program within the Data & Services group. You will own end-to-end delivery of engineering projects for some of our analytics and BI solutions that leverage Mastercard dataset combined with proprietary analytics techniques, to help businesses around the world solve multi-million dollar business problems. Roles And Responsibilities Work as a member of support team to resolve issues related to product, should have good troubleshooting skills and good knowledge in support work. Independently apply problem solving skills to identify symptoms and root causes of issues. Make effective and efficient decisions even when data is ambiguous. Provide technical guidance, support and mentoring to more junior team members. Make active contributions to improvement decisions and make technology recommendations that balance business needs and technical requirements. Proactively understand stakeholder needs, goals, expectations and viewpoints, to deliver results. Ensure design thinking accounts for long term maintainability of code. Thrive in a highly collaborative company environment where agility is paramount. Stay up to date with latest technologies and technical advancements through self-study, blogs, meetups, conferences, etc. Perform system maintenance, production incident problem management, identification of root cause & issue remediation. All About You Bachelor's degree in Information Technology, Computer Science or Engineering or equivalent work experience, with a proven track-record of successfully delivering on complex technical assignments. A solid foundation in Computer Science fundamentals, web applications and microservices-based software architecture. Full-stack development experience, including , Databases (Oracle, Netezza, SQL Server), Hands-on experience with Hadoop, Python, Impala, etc,. Excellent SQL skills, with experience working with large and complex data sources and capability of comprehending and writing complex queries. Experience working in Agile teams and conversant with Agile/SAFe tenets and ceremonies. Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. Excellent English communication skills (both written and verbal) to effectively interact with multiple technical teams and other stakeholders. High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-240980 Show more Show less

Build the future of the AI Data Cloud. Join the Snowflake team. We are looking for a Solutions Architect to be part of our Professional Services team to deploy cloud products and services for our customers. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution and communicate that connection and vision to various technical and executive audiences. The person we’re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for Snowflake, System Integrators and customers. And it means working collaboratively with a broad range of people both inside and outside the company. AS A SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Provide guidance on how to resolve customer-specific technical challenges Support other members of the Professional Services team develop their expertise Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing. OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE: Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform University degree in computer science, engineering, mathematics or related fields, or equivalent experience Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Strong skills in databases, data warehouses, and data processing Extensive hands-on expertise with SQL and SQL analytics Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.) Software development experience with C/C++ or Java.Scripting experience with Python, Ruby, Perl, Bash. Ability and flexibility to travel to work with customers on-site BONUS POINTS FOR THE FOLLOWING: Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.) Experience implementing ETL pipelines using custom and packaged tools Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline Experience selling enterprise SaaS software Proven success at enterprise software WHY JOIN OUR PROFESSIONAL SERVICES TEAM AT SNOWFLAKE? Unique opportunity to work on a truly disruptive software product Get unique, hands-on experience with bleeding edge data warehouse technology Develop, lead and execute an industry-changing initiative Learn from the best! Join a dedicated, experienced team of professionals. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.  3+ years direct experience working in IT Infrastructure  2+ years in a customer facing role working with enterprise clients.  Experience with implementing and/or maintaining technical solutions in virtualized environments.  Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.  Experience with developing software code in one or more languages such as Java and Python. Proficient with SQL  Experience designing and deploying large scale distributed data processing systems with one or more technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.  Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.  Demonstrated excellent communication, presentation, and problem-solving skills.  Mandatory Certifications Required Google Cloud Professional Data Engineer Mandatory skill sets-GCP Architecture/Data Engineering, SQL, Python Preferred Skill Sets-GCP Architecture/Data Engineering, SQL, Python Year of experience required-8-10 years Qualifications-B.E / B.TECH/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less