777 Teradata Jobs - Page 28

Our company: At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do: The Accounting Specialist will Ensure the monthly accounts for your assigned country are submitted accurately and on time Ensure all adjustments are submitted and processed in a timely manner Ensure all subledgers are interfaced correctly with the General Ledger Researching and resolving accounting issues for your assigned country Perform account reconciliation for your assigned country Who You’ll Work With: As an experienced accountant within the Indian Finance Centre, you will play a key role in providing accounting services to our Teradata organisations in APAC or America (which may change to other regions as per business requirement). Working with the Team Leader and other team members, you will be responsible for the delivery of accurate and timely accounting information. This will often involve close collaboration with other specialized departments. Minimum Requirements: Bachelor Degree, Accounting, Finance, or other related Business discipline. You have 1 to 4 years’ experience within a large multinational organization, preferably within a Shared Services Centre You have solid familiarity with Microsoft Office products and Outlook Experience in ERPs like SAP/Oracle & HFM would be preferred You are fluent in English You are energetic, results oriented with a “can do” attitude What You’ll Bring: Ability to collaborate and partner with other team members and BUs to provide an overall superior level of service Ability to “take the lead” in researching and resolving issues, as needed Ability to take ownership of special projects and effectively deliver positive results Technical and comprehensive knowledge of Finance & Accounting systems and processing 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

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way. As an Innovative 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 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

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way. As an Innovative 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 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

About This Role Wells Fargo is seeking a Financial Accounting Associate. In This Role, You Will Provide support for financial accounting related matters for lines of business and control functions Review basic activities associated with maintaining ledger accounts, financial statements and regulatory reports Gather financial data for financial and regulatory reports Review data from the general ledger, unit reports and various financial systems to ensure accuracy Receive direction from managers and exercise independent judgment while developing understanding of financial control functions in accordance with the company's internal control policies Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals Required Qualifications: 6+ months of Finance, Accounting, Analytics, Financial Reporting, Accounting Reporting or Risk Reporting experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Qualified CA/CFA/ICWA/MBA with experience in one or a combination of the following: finance, accounting, analytics, financial reporting, accounting reporting or risk reporting Financial reporting and analysis experience. Advanced problem solving and troubleshooting capabilities. Advanced SQL & Alteryx developer working experience. Knowledge of RDBMS (Relational Database Management System), like Teradata, Oracle, MS SQL server. Experience in Data Management life cycle, including data analysis, data profiling, data acquisition and data quality principles. Knowledge and understanding of data management concepts, process, and tools. Advanced Microsoft Office (Word, Excel, Outlook, and Access) skills Ability to create reporting from databases and data-marts. Build Various dashboards in Power BI with SQL as the back-end data. Support data migrations, system transitions, data-mapping, data lineage, data reconciliation and documentation in alignment to policy and governance Consult with stakeholders to understand their business, automation, turn them into viable solutions which improve their ability to support their clients globally. BI: experience with creating visualizations. Dashboarding experience involving multiple views that all respond to navigation/filter/etc. Ability to publish that can be reused for across dashboards/workbooks and used for self-service by other analysts working on the same domain (and/or, to reuse cube created by others where expedient). SQL: access, combine, calculate. Create temp tables. Structure data for common BI needs such as drilling or side-by-side comparison Documentation skills. Requirements, query documentation, testing Job Expectations: Review and aggregate data for analysis & reporting. Analysis will include period-over-period variances, trends, aging, capital calculations and reserve adjustments. This team will also support the preparation and review of management and regulatory reports and data submissions. help drive efficiency and automation of these processes. This team will also build a center of excellence capability responsible for partnering across the Controller teams to ensure data analytic needs are met, including automation of processes for enhanced efficiency and effectiveness. Access key systems and provide system table maintenance. also handle a variety of research and ad hoc requests. Knowledge of USA regulatory agencies (ie SEC, OCC, FED) and related reporting. Analyze past results, perform Variance Analysis, identify trends, and make recommendations for improvements. Knowledge of banking and lending data and reporting. Strong analytical skills with high attention to detail and accuracy. Ability to execute in a fast paced, high demand, environment while balancing multiple priorities. Ability to exercise independent judgment and creative problem solving techniques. Ability to prepare presentations, management reporting, and statistical analysis. Ability to be flexible and adjust plans quickly to meet changing business needs. Experience in corporate loans, capital markets and investment banking preferred. Knowledge in Basel Regulatory rules Posting End Date: 24 May 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-407381 Show more Show less

Job Description: Strong Informatica Support Engineer with a solid background in ETL support, Unix shell scripting, and PL/SQL (Oracle/Database). The ideal candidate must have experience working in an ITSM-driven production support environment and be willing to work in a 24x7 rotational shift model. The role involves troubleshooting Informatica workflows, debugging data issues, handling batch failures, and optimizing ETL performance. The candidate should be proactive, analytical, and capable of handling critical production incidents effectively. Key Responsibilities: ETL / Informatica Support Provide L2/L3 support for Informatica PowerCenter, handling job failures, debugging, and performance tuning. Monitor, troubleshoot, and resolve batch job failures , ensuring timely data processing and availability. Work on incident, problem, and change management processes in an ITSM-driven environment. Debug Informatica workflows, mappings, and sessions using logs, error messages, and data flow analysis. Optimize Informatica jobs for performance improvement and ensure SLA adherence. Support real-time and batch data processing across enterprise data warehouses. Unix & Shell Scripting Analyze and modify Unix shell scripts used in ETL workflows. Manage and automate batch job execution using shell scripting. Perform log analysis and job monitoring in a Unix/Linux environment. PL/SQL & Oracle Database Debug SQL queries, stored procedures, and database jobs running on Oracle. Perform data validation, reconciliation, and query optimization . Collaborate with database teams for indexing, partitioning, and query tuning. Handle data discrepancies, missing records, and corruption issues efficiently. ITSM & Production Support Work in an ITIL/ITSM-based support model handling incidents, problems, and changes. Participate in root cause analysis (RCA) and provide permanent fixes for recurring issues. Ensure timely resolution of tickets in accordance with SLAs. Create and maintain runbooks, SOPs, and knowledge base articles for L1/L2 teams. Shift & On-Call Support Work in a 24x7 rotational shift environment, ensuring uninterrupted support. Handle critical P1/P2 incidents and escalate to appropriate teams as required. Provide on-call support as per the roster, including weekends and holidays when required. Offshore: All are on rotational basis: M-F rotation among two shifts 9 hours each between (6:30 AM IST- 3:30 PM IST or 12:30 end 9:30 PM IST: Work from office India) Sat-Sun & US Eastern Holiday : rotation among 3 shifts (6:30 AM IST- 3:30 PM IST or 12:30– end 9:30 PM IST or 9:15 PM IST-6:30 AM IST): Work from office India

Duration: 12Months Job Type: Contract Work Type: Onsite Job Description : Analyzes business requirements/processes and system integration points to determine appropriate technology solutions. Designs, codes, tests and documents applications based on system and user requirements. Requirements: 2-4 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills Should possess the below skillset experience Informatica 9 or above as an ETL Tool Teradata/Oracle/SQL Server as Warehouse Database Very strong in SQL / Macros Should know Basic ~ Medium UNIX Commands Knowledge on Hadoop- HDFS, Hive, PIG and YARN Knowledge on ingestion tool - Stream sets Good to have knowledge on Spark and Kafka Exposure in scheduling tools like Control-M Excellent analytical and problem-solving skills is a must have Excellent communication skills (oral and written) Must be experienced in diverse industry and tools and data warehousing technologies. Responsibilities: Prepares flow charts and systems diagrams to assist in problem analysis. Responsible for preparing design documentation. Designs, codes, tests and debugs software according to the clients standards, policies and procedures. Codes, tests and documents programs according to system standards. Prepares test data for unit, string and parallel testing. Analyzes business needs and creates software solutions. Evaluates and recommends software and hardware solutions to meet user needs. Interacts with business users and I/T to define current and future application requirements. Executes schedules, costs and documentation to ensure project comes to successful conclusion. Initiates corrective action to stay on project schedules. May assist in orienting, training, assigning and checking the work of lower-level employees. Leads small to moderate budget projects. Knowledge and Skills: Possesses and applies a broad knowledge of application programming processes and procedures to the completion of complex assignments. Competent to analyze diverse and complex problems. Possesses and applies broad knowledge of principles of applications programming. Competent to work in most phases of applications programming. Beginning to lead small projects or starting to offer programming solutions at an advanced level. Knowledge includes advanced work on standard applications programs including coding, testing and debugging. Advanced ability to effectively troubleshoot program errors. Advanced understanding of how technology decisions relate to business needs. Mandatory Skills: Informatica 9 or above as an ETL Tool Teradata/Oracle/SQL Server as Warehouse Database Very strong in SQL / Macros Should have good knowledge on UNIX Commands Experience: Total Exp 2-3 Years Rel Exp 2 years

Duration: 12Months PRODUCT AND REQUIREMENTS MANAGEMENT: Participate in development of use cases, requirements, test cases, epics, user stories, and tasks in Jira. Ensures that software standards are implemented in adherence to the clientIT's security and controls policy. Simplifies complex ideas and conveys them clearly in both oral and written communication. DESIGN/DEVELOP/TEST/DEPLOY: Work with the Business Customer, Product Owner, Architects, Product Designer and other Software Engineers on application design, development and deployment of applications and data products. Participate in daily stand-up meetings. OPERATIONS: Generate Metrics, Perform User Access Authorization, Perform Password Maintenance, Perform SharePoint Administration. Participate in daily operations meetings. INCIDENT, PROBLEM AND CHANGE/SERVICE REQUESTS: Participate and/or lead incident, problem, change and service request related activities. Includes root cause analysis (RCA). Includes proactive problem management defect prevention activities. Skills Required: Java experience Java J2ee Development environments IntelliJ/Eclipse Web front end development including JavaScript, Angular, React, etc. Develop REST based microservices using Spring, SpringBoot, SpringCloud, SpringListener, SpringMVC, JavaScript, HTML, XML, JUNITS Cloud, container image development and container orchestration experience Experience working with cloud environments, including GCP, Azure, OpenShift, Docker/Kubernetes Data Manipulation experience SQL data manipulation (Relational and NoSQL) Products (relational) including PostGres SQL, SQL Server, Teradata, Products (big data) including GCP Products (streaming) including Kafka and MQTT Build tools experience Skills Preferred: GitHub Build Tools like Tekton, Jenkins, GRADLE Implement and optimize cloud services and tools (e.g. Terraform, BigQuery, GCP) Knowledge in Source Code Management systems such as GIT Proven experience understanding, practicing, and advocating for software engineering disciplines from Clean Code, Software Artisanship, and Lean including: Paired Mobbing programming Test-first/Test Driven Development (TDD) Evolutionary design Minimum Viable Product Experience Required: 5-7 Years Education Required: BE

Position: Senior Software Engineer Location: Hyderabad Duration: 12Months Job Type: Contract Work Type: Onsite Job Description : Analyzes business requirements/processes and system integration points to determine appropriate technology solutions. Designs, codes, tests and documents applications based on system and user requirements. Requirements: 6-8 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills Should possess the below skillset experience Informatica 9 or above as an ETL Tool Teradata/Oracle/SQL Server as Warehouse Database Very strong in SQL / Macros Should know Basic ~ Medium UNIX Commands Knowledge on Hadoop- HDFS, Hive, PIG and YARN Knowledge on ingestion tool - Stream sets Good to have knowledge on Spark and Kafka Exposure in scheduling tools like Control-M Excellent analytical and problem-solving skills is a must have Excellent communication skills (oral and written) Must be experienced in diverse industry and tools and data warehousing technologies. Responsibilities: Prepares flow charts and systems diagrams to assist in problem analysis. Responsible for preparing design documentation. Designs, codes, tests and debugs software according to the clients standards, policies and procedures. Codes, tests and documents programs according to system standards. Prepares test data for unit, string and parallel testing. Analyzes business needs and creates software solutions. Evaluates and recommends software and hardware solutions to meet user needs. Interacts with business users and I/T to define current and future application requirements. Executes schedules, costs and documentation to ensure project comes to successful conclusion. Initiates corrective action to stay on project schedules. May assist in orienting, training, assigning and checking the work of lower-level employees. Leads small to moderate budget projects. Knowledge and Skills : Possesses and applies a broad knowledge of application programming processes and procedures to the completion of complex assignments. Competent to analyze diverse and complex problems. Possesses and applies broad knowledge of principles of applications programming. Competent to work in most phases of applications programming. Beginning to lead small projects or starting to offer programming solutions at an advanced level. Knowledge includes advanced work on standard applications programs including coding, testing and debugging. Advanced ability to effectively troubleshoot program errors. Advanced understanding of how technology decisions relate to business needs. Mandatory Skills: Informatica 9 or above as an ETL Tool Teradata/Oracle/SQL Server as Warehouse Database Very strong in SQL / Macros Should have good knowledge on UNIX Command

Location: Hyderabad / Bangalore / Pune Experience: 7-16 Years Work Mode: Hybrid Mandatory Skills: ERstudio, Data Warehouse, Data Modelling, Databricks, ETL, PostgreSQL, MySQL, Oracle, NoSQL, Hadoop, Spark, Dimensional Modelling ,OLAP, OLTP, Erwin, Data Architect and Supplychain (preferred) Job Description We are looking for a talented and experienced Senior Data Modeler to join our growing team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. You will collaborate with cross-functional teams including data analysts, architects, and business stakeholders to ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. Drive the adoption of best practices and standards for data modeling within the organization. Skills And Qualifications Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. Expertise in Azure and Databricks for building data solutions. Proficiency in ER/Studio, Hackolade, and other data modeling tools. Strong understanding of data modeling principles and techniques (e.g., ERD, UML). Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Familiarity with big data technologies such as Hadoop and Spark is an advantage. Industry Knowledge: A background in supply chain is preferred but not mandatory. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. Ability to work well in a collaborative, fast-paced environment. Education B.Tech in any branch or specialization Skills: data visualization,oltp,models,databricks,spark,data modeller,supplychain,oracle,skills,databases,hadoop,dimensional modelling,erstudio,nosql,data warehouse,data models,data modeling,modeling,data architect,er studio,data modelling,data,etl,erwin,mysql,olap,postgresql Show more Show less

Location: Hyderabad / Bangalore / Pune Experience: 7-16 Years Work Mode: Hybrid Mandatory Skills: ERstudio, Data Warehouse, Data Modelling, Databricks, ETL, PostgreSQL, MySQL, Oracle, NoSQL, Hadoop, Spark, Dimensional Modelling ,OLAP, OLTP, Erwin, Data Architect and Supplychain (preferred) Job Description We are looking for a talented and experienced Senior Data Modeler to join our growing team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. You will collaborate with cross-functional teams including data analysts, architects, and business stakeholders to ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. Drive the adoption of best practices and standards for data modeling within the organization. Skills And Qualifications Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. Expertise in Azure and Databricks for building data solutions. Proficiency in ER/Studio, Hackolade, and other data modeling tools. Strong understanding of data modeling principles and techniques (e.g., ERD, UML). Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Familiarity with big data technologies such as Hadoop and Spark is an advantage. Industry Knowledge: A background in supply chain is preferred but not mandatory. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. Ability to work well in a collaborative, fast-paced environment. Education B.Tech in any branch or specialization Skills: data visualization,oltp,models,databricks,spark,data modeller,supplychain,oracle,skills,databases,hadoop,dimensional modelling,erstudio,nosql,data warehouse,data models,data modeling,modeling,data architect,er studio,data modelling,data,etl,erwin,mysql,olap,postgresql Show more Show less

Job Title: Lead Data Engineering Manager – GCP Cloud Migration Location: [Remote] Experience: 12–15 Years (5+ Years Leading Data Teams, 8+ Years in Data Engineering) Employment Type: Full-Time About the Role: We are seeking an experienced Lead Data Engineering Manager to drive the end-to-end migration of enterprise data platforms, ETL pipelines, and data warehouses to the cloud — with a focus on Google Cloud Platform (GCP) . This role will lead high-performing engineering teams and collaborate with cross-functional stakeholders to architect and execute scalable, secure, and modern data solutions using BigQuery, Dataform, Dataplex , and other cloud-native tools. A background in premium consulting or strategic technology advisory is highly preferred, as this role will engage with executive stakeholders and contribute to data transformation strategies at the enterprise level. Key Responsibilities: Lead and mentor Data Engineering teams across design, development, and deployment of modern cloud data architectures. Drive cloud migration initiatives including re-platforming legacy ETL workflows and on-prem DWHs to GCP-based solutions . Architect and implement scalable data pipelines using BigQuery, Dataform , and orchestration tools. Ensure robust data governance and cataloging practices leveraging Dataplex and other GCP services. Collaborate with data analysts, data scientists, and business stakeholders to enable advanced analytics and ML capabilities. Establish and enforce engineering best practices, CI/CD pipelines, and monitoring strategies. Provide technical leadership, project planning, and resource management to deliver projects on time and within scope. Represent the data engineering function in client or leadership meetings, especially in a consulting or multi-client context. Required Skills & Qualifications: 12–15 years of total experience, with 8+ years in data engineering and 5+ years in team leadership roles. Proven expertise in cloud-based data platforms, especially GCP (BigQuery, Dataflow, Dataform, Dataplex, Cloud Composer, Pub/Sub) . Strong knowledge of modern ETL/ELT practices, data modeling, and pipeline orchestration. Experience with data warehouse modernization and migration from platforms like Teradata, Oracle, or Hadoop to GCP. Familiarity with data governance , metadata management , and data cataloging . Background in consulting or strategic data advisory with Fortune 500 clients preferred. Hands-on skills in SQL, Python, and cloud infrastructure-as-code (e.g., Terraform). Strong communication, stakeholder engagement, and leadership presence. Preferred Qualifications: GCP Data Engineer or Architect Certification. Experience with agile methodologies and DevOps practices. Prior work with multi-cloud or hybrid environments is a plus. Experience in regulated industries (finance, healthcare, etc.) is advantageous. Show more Show less

About Lowe’s Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. About Lowe’s India At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market. About The Team The pricing Analytics team supports pricing managers and merchants in defining and optimizing the pricing strategies for various product categories across the channels .The team leverages advance analytics to forecast/measure the impact of pricing actions , develop strategic price zones , recommend price changes and identify sales/margin opportunities to achieve company targets . I. Job Summary The primary purpose of this role is development and maintenance of descriptive and predictive analytics models and tools in support of Lowe's pricing strategy. Working closely with the Pricing Analytics & Insights team, the analyst will assist in translating pricing goals and objectives to the underlying data and analytics requirements. Using open source and commercial software tools for data science, the analyst will gather and wrangle data to deliver data-driven insights, trends, and anomalies to develop the most appropriate statistical and machine learning techniques to answer relevant questions and provide retail recommendations. The analyst will actively collaborate and partner with other technical and non-technical teams to incorporate feedback at various stages of development to drive continuous improvement with the goal to be best-in-class position in the pricing space. Core Responsibilities II. Roles & Responsibilities: The primary purpose of this role is development and maintenance of descriptive and predictive analytics models and tools in support of Lowe's pricing strategy Support translation of business goals and objectives into analytics requirements. Design and develop processes to gather, explore, structure, enrich, and clean large datasets from various internal and external sources. Perform data validation, outlier detection, and root cause analysis to prepare inputs for statistical and machine learning models. Research, design, and develop applicable statistical and machine learning approaches for specific business problems. Assess the quality of model output to identify meaningless results and investigate root cause through detailed analysis of data inputs and code. Develop scalable retail test processes and frameworks for design of experiment, A/B testing, baseline development, assessment, and recommendations. Collaborate and partner with Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to scope out, prioritize, and develop innovative capabilities. Convert mundane manual process in to automated ones III. Years Of Experience 3-6 years of relevant experience IV. Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math V. Skill Set Required Primary Skills (must have) 3+ Years of experience in advance quantitative analysis and statistical modeling Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling 3+ years’ experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management 3+ years’ experience working with common analytics and data science software and technologies such as SQL, Python, R, or SAS 3+ years’ experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2) 3+ years’ experience using enterprise-grade data visualization tools (e.g., Power BI , Tableau) Secondary Skills (desired) Technical expertise in Alteryx, Knime, GCP,Azure Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Location: Hyderabad / Bangalore / Pune Experience: 7-16 Years Work Mode: Hybrid Mandatory Skills: ERstudio, Data Warehouse, Data Modelling, Databricks, ETL, PostgreSQL, MySQL, Oracle, NoSQL, Hadoop, Spark, Dimensional Modelling ,OLAP, OLTP, Erwin, Data Architect and Supplychain (preferred) Job Description We are looking for a talented and experienced Senior Data Modeler to join our growing team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. You will collaborate with cross-functional teams including data analysts, architects, and business stakeholders to ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. Drive the adoption of best practices and standards for data modeling within the organization. Skills And Qualifications Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. Expertise in Azure and Databricks for building data solutions. Proficiency in ER/Studio, Hackolade, and other data modeling tools. Strong understanding of data modeling principles and techniques (e.g., ERD, UML). Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Familiarity with big data technologies such as Hadoop and Spark is an advantage. Industry Knowledge: A background in supply chain is preferred but not mandatory. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. Ability to work well in a collaborative, fast-paced environment. Education B.Tech in any branch or specialization Skills: data visualization,oltp,models,databricks,spark,data modeller,supplychain,oracle,skills,databases,hadoop,dimensional modelling,erstudio,nosql,data warehouse,data models,data modeling,modeling,data architect,er studio,data modelling,data,etl,erwin,mysql,olap,postgresql Show more Show less

Location: Hyderabad / Bangalore / Pune Experience: 7-16 Years Work Mode: Hybrid Mandatory Skills: ERstudio, Data Warehouse, Data Modelling, Databricks, ETL, PostgreSQL, MySQL, Oracle, NoSQL, Hadoop, Spark, Dimensional Modelling ,OLAP, OLTP, Erwin, Data Architect and Supplychain (preferred) Job Description We are looking for a talented and experienced Senior Data Modeler to join our growing team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. You will collaborate with cross-functional teams including data analysts, architects, and business stakeholders to ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. Drive the adoption of best practices and standards for data modeling within the organization. Skills And Qualifications Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. Expertise in Azure and Databricks for building data solutions. Proficiency in ER/Studio, Hackolade, and other data modeling tools. Strong understanding of data modeling principles and techniques (e.g., ERD, UML). Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Familiarity with big data technologies such as Hadoop and Spark is an advantage. Industry Knowledge: A background in supply chain is preferred but not mandatory. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. Ability to work well in a collaborative, fast-paced environment. Education B.Tech in any branch or specialization Skills: data visualization,oltp,models,databricks,spark,data modeller,supplychain,oracle,skills,databases,hadoop,dimensional modelling,erstudio,nosql,data warehouse,data models,data modeling,modeling,data architect,er studio,data modelling,data,etl,erwin,mysql,olap,postgresql Show more Show less

Location: Hyderabad / Bangalore / Pune Experience: 7-16 Years Work Mode: Hybrid Mandatory Skills: ERstudio, Data Warehouse, Data Modelling, Databricks, ETL, PostgreSQL, MySQL, Oracle, NoSQL, Hadoop, Spark, Dimensional Modelling ,OLAP, OLTP, Erwin, Data Architect and Supplychain (preferred) Job Description We are looking for a talented and experienced Senior Data Modeler to join our growing team. As a Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. You will collaborate with cross-functional teams including data analysts, architects, and business stakeholders to ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. Drive the adoption of best practices and standards for data modeling within the organization. Skills And Qualifications Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. Expertise in Azure and Databricks for building data solutions. Proficiency in ER/Studio, Hackolade, and other data modeling tools. Strong understanding of data modeling principles and techniques (e.g., ERD, UML). Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Familiarity with big data technologies such as Hadoop and Spark is an advantage. Industry Knowledge: A background in supply chain is preferred but not mandatory. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. Ability to work well in a collaborative, fast-paced environment. Education B.Tech in any branch or specialization Skills: data visualization,oltp,models,databricks,spark,data modeller,supplychain,oracle,skills,databases,hadoop,dimensional modelling,erstudio,nosql,data warehouse,data models,data modeling,modeling,data architect,er studio,data modelling,data,etl,erwin,mysql,olap,postgresql Show more Show less

Back Who Are We At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications. This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go. Thrive in diverse roles like Full Stack Developer, Backend Developer, UI/UX Designer, DevOps Engineer, Cloud Engineer, Data Science Engineer, and Scrum Master; at a workplace that encourages you to freely share your bold and different ideas. If you are passionate about technology and eager to make a difference, we want to hear from you! Apply now to join our dynamic team in Bengaluru. The role demands strong leadership skills with a focus on risk management and the ability to deliver results-oriented outcomes. The candidate must understand business needs, maintain a customer-focused approach, and demonstrate the ability to adapt and work in a fast-paced environment, managing multiple projects and tolerating ambiguity effectively. Key Responsibilities experience in business intelligence related functions (testing, analysis, coding, etc.)Architect and provide guidance on building end-to-end systems optimized for speed and scale Proficiency in programming languages including SAS, Oracle and Teradata SQL Strong knowledge of relational databases- My sql, DB2, etc Autonomous and self-motivated with an ability to prioritize Experience working in agile Technology Skills Advanced SQL skills - preferable Teradata Working knowledge of SAS Viya- New cloud product (Good to have) Google Cloud experience includeing BIG Query- GCP prefer, we can also look for other Clouds Working knowledge of MicroStrategy Strong leadership skills with risk-management Results-oriented Understanding of business needs/input, customer focus Ability to adapt and work in a fast paced environment with good tolerance to ambiguity and manage multiple projects Required Qualifications To Be Successful In This Role Work with multiple teams to collect and document business requirements / User Stories Work within various database environments such as Teradata and SAS to design, develop and deliver data solutions, ensuring accuracy and quality Design, construct, modify, integrate, implement and test data models and database management systems Utilize advanced SQL to analyze data and perform data mining analysis. Effectively manage data mining analysis and report to various stakeholders Establish & maintain effective relationships with cross-functional product teams, colleagues and process teams, including virtual environment (i.e. conference calls, videoconference) Additional Information Job Type : Permanent Full Time Work Profile : Hybrid (Work from Office/ Remote) Years of Experience : 8-10Years Location : Bangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options. Professional development and training opportunities. A supportive and inclusive work environment Show more Show less

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Strategic Customer Success Manager’s (CSM’s) are charged with driving Success Plans through operating as a trusted advisor and customer advocate to drive successful outcomes for our highest profile customers. You will act as a direct liaison between Cloudera and the customer on their Cloudera journey, ensuring that all facets of the customer product adoption journey take place, planning, preparing and driving the execution of the plan in accordance with the customer agreed timeline. You will pull the customer above the line to enable them to fulfill success initiatives within their business. Acting as the customer’s trusted Cloudera advisor and advocate, CSMs manage a system of checks and balances between the company and the customer, understanding our customer’s needs, aligning the appropriate Cloudera resources (Engineering, Product Management, Support or Services). This will include assisting with critical escalation management to ensure their Cloudera interactions, business objectives and product adoption is a success. You are comfortable working across business, technical, and senior management in a customer facing role, and you are confident and articulate in communication with stakeholders. A key aspect to success in the role is persistence: forming a relationship of trust with the customer, anticipating issues, acting with agility and flexibility in the face of any situation that may arise. As a Customer Success Manager you will: Exemplify strong customer facing skills and stakeholder management Take ownership for the customer’s product adoption of Cloudera products and Success Plan Have experience operating on-site with large enterprise customers Liaise and facilitate with key internal and external stakeholders Have clear and concise communication skills Take an Ownership mentality over your customers and work Be comfortable with program, project management Demonstrate best practices and ability in managing stakeholder escalations to mutually agreeable outcomes Develop & leverage reports, dashboards, and data to summarise customer engagements and statuses, both to internal audiences as well as back to your customers. Analyse customer activity and data across the Cloudera organisation, including from Sales, Support, Professional Services, & Training to identify trends, gaps, or issues from and communicating/actioning those to stakeholders (internal and external). We’re excited about you if you have: Fluent English Language Skills, other languages a plus Experience with large scale data platforms Experience with software implementation and upgrade management Strong technology background either in a technical or business capacity Familiarity with project lifecycle management and the complexities around project delivery. Understanding of data management concepts Understanding of ITIL concepts Experience with an RDBMS (Oracle, MySQL, Teradata, etc) Understanding of networking concepts Industry vertical experience including FSI, Telecommunications, Manufacturing or Government a plus 5 or more years relevant experience. Degree level of education with high attainment or equivalent experience in a related field. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Show more Show less

Transform Data into Insight – We're Hiring a #DataWarehouseConsultant! Your Next Big Move in Data Starts Here – Join us as a Dynamic Professional Data Warehouse Consultant Position: Data Warehouse Consultant (ETL) Type: Contract Years Of Experience: 2 - 5 Years. Start Date: Immediate Joiners (15 Days or Less) Preferred Headline: We are looking for an ETL Developer. The consultant will join a Professional Services Team who are responsible for developing Data Warehouse Automation solutions & supporting various customers to provide technical expertise on an ELT Automation tool. The role is focused on automation tools WhereScape RED and 3D integrated with various traditional & cloud platforms like Oracle, Teradata, Snowflake, Azure SQL, Hive, Amazon, Google Bigquery, etc. applied in the areas of Dimensional as well as Data Vault modeling techniques. Principal Accountabilities: Requirement gathering & understanding of the client Data Warehouse needs Provide Data Warehouse Automation solutions Develop, schedule & produce the ELT Migration of Data Warehouse systems from traditional RDBMS platforms to Cloud platforms Skills Required: Must have excellent command over communication (Written and Verbal) Knowledge of Data Warehousing modeling techniques - Dimensional Modeling or Data Vault Modeling Should have extensively worked with any of the ETL/ELT tools Good understanding of any Database Architectures Excellent SQL & PL/SQL skills Good problem-solving capability and self-explore Work Location Remote Working Only-Anywhere from India Interested candidates; Share your Latest CV on: hr@dataentrega.com & Apply on: - https://www.dataentrega.com/careers/ #DataWarehouseConsultant #ETL #Contract #Careerbreak #Openforopportunities #Restartcareer #Wherescape #Workfromhome #Remote #Notworking #SQL #CloudPlatforms Show more Show less

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About The Team The Pro & Services Reporting team is responsible to perform quantitative analysis or dashboard building needed to help guide key business decisions. This includes applying knowledge of Lowe's data concepts to the creation of relevant analytic designs and making sound, data‐driven business recommendations. Job Summary The Manager Pro & Services Reporting is responsible for partnering with Pro & Services business stakeholders to define and execute Reporting and Analytics tools and resources. He/she will do this by acting as a subject matter expert and thought leader on their respective team, partnering with DACI and other Reporting & Analytics team in the organization, and taking on the responsibility of managing and developing a team of Individual Contributors. To be successful in this role, the Manager Pro & Services Reporting must have strong knowledge of analytical and reporting principles in addition to experience supporting a business unit in a cross-functional organization. Core Responsibilities Manages a team of Analysts who will provide reporting and insights to Pro & Services business units, including determining capacity and assigning work based on priorities. Coaches and develops analysts on best practices and technical expertise and provides strategic direction. Assists Analysts on technical work, reviewing for accuracy and providing technical help to analysts as needed. Provides subject matter expertise to business partners for matters concerning data availability, reportability, and accessibility. Assists team on gathering business requirements and translates into reporting solutions, analytic tools, and dashboards to deliver actionable data to end users. Collaborates cross-functionally with other teams, including serving as a liaison between Pro & Service business teams and DACI, ensuring all requirements are documented, communicated, and prioritized. Communicates data driven insights to senior leaders by preparing analyses using multiple data sources, translating findings into clear, understandable themes, identifying complete, consistent, and actional insights and recommendations. Develops, configures, and modifies database components within various environments by using tools such as SQL and/or Power BI to access, manipulate, and present data. Years Of Experience Overall, 8 to 12 years of Experience with 2+ years of experience leading people directly or indirectly. Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in business administration, Finance, Mathematics, or Related Fields and 6 Years Related Experience OR Master’s Degree in in Business Administration, Finance, Mathematics, or Related Fields and 4 Years Related Experience. Primary Skills (must Have) 8-10 years of overall experience with 2+ years of experience leading people directly or indirectly. 6+ years of applied reporting and analytics experience supporting a business unit in retail, technology, or other customer driven organization. 4+ years of experience using analytic tools (e.g., SQL, Alteryx, Knime, SAS). 4+ years of experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). 4+ years of experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Build the future of the AI Data Cloud. Join the Snowflake team. The Technical Instructor for the Snowflake Customer Education and Training Team will be responsible for creating and delivering compelling education contents and training sets that make complex concepts come alive in instructor-led classroom venues. The senior instructor will be seen as a subject matter expert and leader in transferring knowledge of Snowflake to customers, partners and internals and in accelerating their technical on-boarding journey. This role will also be responsible for the cross-training efforts, program management and help strategically ramp multiple resources within our external stakeholders. This role is a unique opportunity to contribute in a meaningful way to high value and high impact delivery at a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience teaching data courses to customers and possess excellent presentation and communication skills, we’d love to hear from you. AS A TECHNICAL INSTRUCTOR AT SNOWFLAKE, YOU WILL: Teach a breadth of technical courses to onboard customers and partners to Snowflake, the data warehouse built for the Cloud Cross-train a breadth of technical courses to qualified individuals and resources The scope of course concepts may include foundational and advanced courses in the discipline which includes Snowflake data warehousing concepts, novel SQL capabilities, data consumption and connectivity interfaces, data integration and ingestion capabilities, database security features, database performance topics, Cloud ecosystem topics and more Apply database and data warehousing industry/domain/technology expertise and experience during training sessions to help customers and partners ease their organizations into the Snowflake data warehouse from prior database environments Deliver contents and cross train on delivery best practices using a variety of presentation formats including engaging lectures, live demonstration, and technical labs Work with customers and partners that are investing in the train the trainer program to certify their selected trainers ensuring they are well prepared and qualified to deliver the course at their organization Strong eye for design, making complex training concepts come alive in a blended educational delivery model Work with the education content developers to help prioritize, create, integrate, and publish training materials and hands-on exercises to Snowflake end users; drive continuous improvement of training performance Work with additional Snowflake subject-matter-experts in creating new education materials and updates to keep pace with Snowflake product updates OUR IDEAL TECHNICAL INSTRUCTOR WILL HAVE: Strong data warehouse and data-serving platform background Recent experience with using SQL including potentially in complex workloads 5-10 years of experience in technical content training development and delivery Strong desire and ability to teach and train Prior experience with other databases (e.g. Oracle, IBM Netezza, Teradata,…) Excellent written and verbal communication skills Innovative and assertive, with the ability to pick up new technologies Presence: enthusiastic and high energy, but also poised, confident and extremely professional Track record of delivering results in a dynamic start-up environment Experience working cross functionally, ideally with solution architects, technical writers, and support Strong sense of ownership and high attention to detail Candidates with degrees from fields such as Computer Science or Management Information Systems Comfortable with travel up to 75% of the time BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: Experience with creating and delivering training programs to mass audiences Experience with other databases (e.g. Teradata, Netezza, Oracle, Redshift,…) 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,…) Experience with ETL pipelines tools Experience using AWS and Microsoft services Participated in Train the Trainer programs Proven success at enterprise software startups 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

Join us as a "Senior Data Operations Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with SQL and Unix, as well as job-specific skillsets. To be successful as a "Data Operations Analyst", you should have experience with: Developing and managing your campaigns Proactively monitor and track the outcome of scheduled processes daily (Monday – Friday 8am – 4pm) with issues expected to be raised within an hour of detection and on same day. Operate the scheduler change process, including tracking new requests, confirming all governance steps have been performed, and then deploying changes into the scheduler in a controlled way. In the event of process failures being detected, promptly communicate this to stakeholders, then perform any agreed action to remediate this issue. Continuously maintain documentation for processes that support the scheduler, for instance the program and specification documentation. Where required of our area, coordinate the capture of information needed to provide a collective response to impact assessment requests from infrastructure teams. In the event of issues being caused by infrastructure, lead the raising of incidents to platform support teams, and regularly communicate progress and outcomes to stakeholders. Perform all steps as set out in role process documentation for scheduler management. Stakeholder Management Main stakeholders are the Customer Targeting team within Customer Communication Delivery, with the expectation that you support the team through accurately and promptly dealing with scheduled process queries and issues. Other stakeholders are the multiple support teams we rely upon for the platforms and tools that the team use to execute customer communications. You’ll need to contact them whenever their support is needed with an issue. On occasion you may need to communicate with processes owners in Barclays UK . Decision-making and Problem Solving If a problem is found with a scheduled process then evaluation of the issue and root cause identification should be performed quickly before escalating to the process owner or Team Lead(s), ideally with a recommendation of how to resolve the issue. It’s important that this evaluation considers a range of possible causes and considers whether multiple issues in a short time could be linked to a common root cause. Person Specification Excellent attention to detail. Well organised and diligent when updating documentation. Strong written and verbal communication skills with the ability to communicate technical information in a clear and appropriate way to colleagues who may not have the same understanding, as well as share relevant information or updates with the team. Ability to problem solve and work under pressure Able to build effective and respectful working relationships with colleagues and other teams across geographies and as part of virtual teams. Speaks up to ensure that team processes and controls are followed. Basic/ Essential Qualifications Strong planning, organisational, and stakeholder management skills Good analytical and problem solving skills. High attention to detail and quality of work. Knowledge and practical experience with SQL syntax and logic Desirable Skillsets/ Good To Have Practical experience with working with schedulers, such as Unix CRON or Tivoli’s Dynamic Workload Console (TWS) Practical experience with Teradata or Hadoop databases, ideally in a commercial environment. Practical experience with SAS or R programming languages, ideally in a commercial environment. Microsoft Excel to an advanced level. This role will be based out of Chennai. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Role & responsibilities Mandatory skill-Informatica,SQL,Teradata,Oracle 8 plus years of Strong ETL Informatica experience. Should have Oracle, Hadoop, MongoDB experience. Strong SQL/Unix knowledge. Experience in working with RDBMS. Preference to have Teradata. Good to have Bigdata/Hadoop experience. Good to have Python or any programming knowledge. Preferred candidate profile

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description Core Responsibilities Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed. Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools. Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. Combines data as needed from disparate data sources to complete analysis. Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. Develops forecasting models to predict sales, demand and other key business metrics. Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned.Employees at all levels are expected to:Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers Drive results and growth.Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors and our communities. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years Show more Show less

The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization. A Senior Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members. Qualifications Bachelors Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc) OR Masters Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also Knowledge of SQL and various statistical modeling or machine learning techniques Preferred Qualifications Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field 3 years of experience performing predictive analytics at a large scale enterprise 3 years of experience in data science or advanced analytics in industry SQL Experience Programming experience (Python, Java, Scala, Rust, etc) Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc)

Senior Analyst - Data Analysis Back to job search results Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Apply by 30-May-2025 About the role Analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau, PyDash) What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for - Understands business needs and in depth understanding of Tesco processes - Builds on Tesco processes and knowledge by applying CI tools and techniques. - Responsible for completing tasks and transactions within agreed KPIs - Solves problems by analyzing solution alternatives -Engage with market leaders to understand problems to be solved, translate the business problems to analytical problems, taking ownership of specified analysis and translate the answers back to decision makers in business - Manipulating, analyzing and synthesizing large complex data sets using different sources and ensuring data quality and integrity - Think beyond the ask and develop analysis and reports that will contribute beyond basic asks - Accountable for high quality and timely completion of specified work deliverables and ad-hocs business asks - Write codes that are well detailed, structured, and compute efficient - Drive value delivery through efficiency gain by automating repeatable tasks, report creation or dashboard refresh - Collaborate with colleagues to craft, implement and measure consumption of analysis, reports and dashboards - Contribute to development of knowledge assets and reusable modules on GitHub/Wiki - Understands business needs and in depth understanding of Tesco processes - Responsible for completing tasks and transactions within agreed metrics - Experience in handling high volume, time pressured business asks and ad-hocs requests You will need 2-4 years experience preferred in analysis oriented delivery in any one of domains like retail, cpg, telecom or hospitality and for one of the following functional areas - marketing, supply chain, customer, space range and merchandising, operations, finance or digital will be preferred Strong understanding of Business Decisions, Skills to develop visualizations, self-service dashboards and reports using Tableau & Basic Statistical Concepts (Correlation Analysis and Hyp. Testing), Good Skills to analyze data using Adv Excel, Adv SQL, Hive, Phython, Data Warehousing concepts (Hadoop, Teradata), Automation using alteryx, python About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBSs focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation Apply