546 Data Lake Jobs - Page 19

Dear Candidate, We are hiring a Data Platform Engineer to build scalable infrastructure for data ingestion, processing, and analysis. Key Responsibilities: Architect distributed data systems. Enable data discoverability and quality. Develop data tooling and platform APIs. Required Skills & Qualifications: Experience with Spark, Kafka, and Delta Lake. Proficiency in Python, Scala, or Java. Familiar with cloud-based data platforms. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Position Overview: Working with the Finance Systems Manager, the role will ensure that ERP system is available and fit for purpose. The ERP Systems Developer will be developing the ERP system, providing comprehensive day-to-day support, training and develop the current ERP System for the future. Key Responsibilities: As a Sr. DW BI Developer, the candidate will participate in the design / development / customization and maintenance of software applications. As a DW BI Developer, the person should analyse the different applications/Products, design and implement DW using best practices. Rich data governance experience, data security, data quality, provenance / lineage. The candidate will also be maintaining a close working relationship with the other application stakeholders. Experience of developing secured and high-performance web application(s) Knowledge of software development life-cycle methodologies e.g. Iterative, Waterfall, Agile, etc. Designing and architecting future releases of the platform. Participating in troubleshooting application issues. Jointly working with other teams and partners handling different aspects of the platform creation. Tracking advancements in software development technologies and applying them judiciously in the solution roadmap. Ensuring all quality controls and processes are adhered to. Planning the major and minor releases of the solution. Ensuring robust configuration management. Working closely with the Engineering Manager on different aspects of product lifecycle management. Demonstrate the ability to independently work in a fast-paced environment requiring multitasking and efficient time management. Required Skills and Qualifications: End to end Lifecyle of Data warehousing, DataLakes and reporting Experience with Maintaining/Managing Data warehouses. Responsible for the design and development of a large, scaled-out, real-time, high performing Data Lake / Data Warehouse systems (including Big data and Cloud). Strong SQL and analytical skills. Experience in Power BI, Tableau, Qlikview, Qliksense etc. Experience in Microsoft Azure Services. Experience in developing and supporting ADF pipelines. Experience in Azure SQL Server/ Databricks / Azure Analysis Services Experience in developing tabular model. Experience in working with APIs. Minimum 2 years of experience in a similar role Experience with data warehousing, data modelling. Strong experience in SQL 2-6 years of total experience in building DW/BI systems Experience with ETL and working with large-scale datasets. Proficiency in writing and debugging complex SQLs. Prior experience working with global clients. Hands on experience with Kafka, Flink, Spark, SnowFlake, Airflow, nifi, Oozie, Pig, Hive,Impala Sqoop. Storage like HDFS , Object Storage (S3 etc), RDBMS, MPP and Nosql DB. Experience with distributed data management, data sfailover,luding databases (Relational, NoSQL, Big data, data analysis, data processing, data transformation, high availability, and scalability) Experience in end-to-end project implementation in Cloud (Azure / AWS / GCP) as a DW BI Developer Rich data governance experience, data security, data quality, provenance / lineagHive, Impalaerstanding of industry trends and products in dataops , continuous intelligence , Augmented analytics , and AI/ML. Prior experience of working in cloud like Azure, AWS and GCP Prior experience of working with Global Clients

We at Dexian India, are looking to hire a Cloud Data PM with over 10 years of hands-on experience in AWS/Azure, DWH, and ETL. The role is based in Chennai with a shift from 2.00pm to 11.00pm IST. Key qualifications we seek in candidates include: - Solid understanding of SQL and data modeling - Proficiency in DWH architecture, including EDW/DM concepts and Star/Snowflake schema - Experience in designing and building data pipelines on Azure Cloud stack - Familiarity with Azure Data Explorer, Data Factory, Data Bricks, Synapse Analytics, Azure Fabric, Azure Analysis Services, and Azure SQL Datawarehouse - Knowledge of Azure DevOps and CI/CD Pipelines - Previous experience managing scrum teams and working as a Scrum Master or Project Manager on at least 2 projects - Exposure to on-premise transactional database environments like Oracle, SQL Server, Snowflake, MySQL, and/or Postgres - Ability to lead enterprise data strategies, including data lake delivery - Proficiency in data visualization tools such as Power BI or Tableau, and statistical analysis using R or Python - Strong problem-solving skills with a track record of deriving business insights from large datasets - Excellent communication skills and the ability to provide strategic direction to technical and business teams - Prior experience in presales, RFP and RFI responses, and proposal writing is mandatory - Capability to explain complex data solutions clearly to senior management - Experience in implementing, managing, and supporting data warehouse projects or applications - Track record of leading full-cycle implementation projects related to Business Intelligence - Strong team and stakeholder management skills - Attention to detail, accuracy, and ability to meet tight deadlines - Knowledge of application development, APIs, Microservices, and Integration components Tools & Technology Experience Required: - Strong hands-on experience in SQL or PLSQL - Proficiency in Python - SSIS or Informatica (Mandatory one of the tools) - BI: Power BI, or Tableau (Mandatory one of the tools)

Role & responsibilities 3 to 4+ years of hands-on experience in SQL database design, data architecture, ETL, Data Warehousing, Data Mart, Data Lake, Big Data, Cloud and Data Governance domains. • Take ownership of the technical aspects of implementing data pipeline & migration requirements, ensuring that the platform is being used to its fullest potential through designing and building applications around business stakeholder needs. • Interface directly with stakeholders to gather requirements and own the automated end-to-end data engineering solutions. • Implement data pipelines to automate the ingestion, transformation, and augmentation of both structured, unstructured, real-time data, and provide best practices for pipeline operations • Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers. Implement Data Governance best practices. • Create and maintain clear documentation on data models/schemas as well as transformation/validation rules. • Implement tools that help data consumers to extract, analyze, and visualize data faster through data pipelines. • Implement data security, privacy, and compliance protocols to ensure safe data handling in line with regulatory requirements. • Optimize data workflows and queries to ensure low latency, high throughput, and cost efficiency. • Leading the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for batch ETL's. • Work directly with our internal product/technical teams to ensure that our technology infrastructure is seamlessly and effectively integrated • Migrate current data applications & pipelines to Cloud leveraging technologies in future Preferred candidate profile • Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS or equivalent with substantial data engineering experience. • 3+ years of recent hands-on experience with a modern programming language (Scala, Python, Java) is required; Spark/ Pyspark is preferred. • Experience with configuration management and version control apps (ie: Git) and experience working within a CI/CD framework is a plus. • 3+ years of recent hands-on SQL programming experience in a Big Data environment is required. • Working knowledge of PostgreSQL, RDBMS, NoSQL and columnar databases. • Experience developing and maintaining ETL applications and data pipelines using big data technologies is required; Apache Kafka, Spark, Airflow experience is a must. • Knowledge of API and microservice integration with applications. • Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). • Experience building data solutions for Power BI and Web visualization applications. • Experience with Cloud is a plus. • Experience in managing multiple projects and stakeholders with excellent communication and interpersonal skills. • Ability to develop and organize high-quality documentation. • Superior analytical skills and a strong sense of ownership in your work. • Collaborate with data scientists on several projects. Contribute to development and support of analytics including AI/ML. • Ability to thrive in a fast-paced environment, and to manage multiple, competing priorities simultaneously. • Prior Energy & Utilities industry experience is a big plus. Experience (Min. Max. in yrs.): 3+ years of core/relevant experience Location: Mumbai (Onsite)

What’s the role all about? As a BI Developer, you’ll be a key contributor to developing Reports in a multi-region, multi-tenant SaaS product. You’ll collaborate with the core R&D team to build high-performance Reports to serve the use cases of several applications in the suite. How will you make an impact? Take ownership of the software development lifecycle, including design, development, unit testing, and deployment, working closely with QA teams. Ensure that architectural concepts are consistently implemented across the product. Act as a product expert within R&D, understanding the product’s requirements and its market positioning. Work closely with cross-functional teams (Product Managers, Sales, Customer Support, and Services) to ensure successful product delivery. Design and build Reports for given requirements. Create design documents, test cases for the reports Develop SQL to address the adhoc report requirements, conduct analyses Create visualizations and reports as per the requirements Execute unit testing, functional & performance testing and document the results Conduct peer reviews and ensure quality is met at all stages Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute 2-4 years of BI report development experience Expertise in SQL & any cloud-based databases. Would be able to work with any DB to write SQL for any business needs. Experience in any BI tools like Tableau, Power BI, MicroStrategy etc.. Experience working in enterprise Data warehouse/ Data Lake system Strong knowledge of Analytical Data base and schemas Development experience building solutions that leverage SQL and NoSQL databases. Experience/Knowledge of Snowflake an advantage. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework Experience working in functional testing, Performance testing etc.. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc Experience working in Continuous Integration and Delivery practices using industry standard tools such as Jenkins Experience working in an Agile methodology development environment and using work item management tools like JIRA What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Reporting into: Tech Manager Role Type: Individual Contributor

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 6 - 15 Yrs Location: Pan India Job Description: Candidate must be experienced working in projects involving Other ideal qualifications include experiences in Primarily looking for a data engineer with expertise in processing data pipelines using Databricks Spark SQL on Hadoop distributions like AWS EMR Data bricks Cloudera etc. Should be very proficient in doing large scale data operations using Databricks and overall very comfortable using Python Familiarity with AWS compute storage and IAM concepts Experience in working with S3 Data Lake as the storage tier Any ETL background Talend AWS Glue etc. is a plus but not required Cloud Warehouse experience Snowflake etc. is a huge plus Carefully evaluates alternative risks and solutions before taking action. Optimizes the use of all available resources Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit Skills Hands on experience on Databricks Spark SQL AWS Cloud platform especially S3 EMR Databricks Cloudera etc. Experience on Shell scripting Exceptionally strong analytical and problem-solving skills Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses Strong experience with relational databases and data access methods especially SQL Excellent collaboration and cross functional leadership skills Excellent communication skills both written and verbal Ability to manage multiple initiatives and priorities in a fast-paced collaborative environment Ability to leverage data assets to respond to complex questions that require timely answers has working knowledge on migrating relational and dimensional databases on AWS Cloud platform Skills Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 6 - 15 Yrs Location: Pan India Job Description: Candidate must be proficient in Databricks Understands where to obtain information needed to make the appropriate decisions Demonstrates ability to break down a problem to manageable pieces and implement effective timely solutions Identifies the problem versus the symptoms Manages problems that require involvement of others to solve Reaches sound decisions quickly Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit Roles Responsibilities Provides innovative and cost effective solution using databricks Optimizes the use of all available resources Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit Learn adapt quickly to new Technologies as per the business need Develop a team of Operations Excellence building tools and capabilities that the Development teams leverage to maintain high levels of performance scalability security and availability Skills The Candidate must have 710 yrs of experience in databricks delta lake Hands on experience on Azure Experience on Python scripting Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses Strong experience with relational databases and data access methods especially SQL Knowledge of Azure architecture and design Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

Job Summary 15+ years of experience in Teamcenter Solution Architect and end to end solution implementation Medical device exp will be added advantages. Experience in Active Workspace Customization Experience in Server-Side Customization Responsibilities Experience in BMIDE Workflow ACL BOM Management and Configuration Experience in Teamcenter Integration (T4S T4EA SOA SOAP and REST services etc. ) Experience in Automation Testing for Teamcenter Experience in Data lake and Reports (Microservice..) Should be having expertise in ITK RAC and AWC customization Should be having in depth knowledge in Teamcenter Data Model. Should be having experience in Document Management BOM Management Configuration Management and Change Management. Should be familiar with developing Workflow Handlers REST API SOA Certifications Required Certification in Teamcenter will be added advantage

Dear Candidate, Seeking a Cloud Monitoring Specialist to set up observability and real-time monitoring in cloud environments. Key Responsibilities: Configure logging and metrics collection. Set up alerts and dashboards using Grafana, Prometheus, etc. Optimize system visibility for performance and security. Required Skills & Qualifications: Familiar with ELK stack, Datadog, New Relic, or Cloud-native monitoring tools. Strong troubleshooting and root cause analysis skills. Knowledge of distributed systems. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Job Role: Data Engineer Senior About the Job: We are looking for a highly skilled Data Engineer with experience in working on complex software projects and strong problem-solving skills. Role Overview: Description: As a Senior Data Engineer, you manage and develop the solutions in close alignment with various business and Spoke stakeholders. You are responsible for the implementation of the IT governance guidelines. Tasks Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation Experience working with and creating cloud data solutions Assemble large, complex data sets that meet functional/non-functional business requirements Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics Manipulate data at scale: getting data in a ready-to-use state in close alignment with various business and Spoke stakeholders What We Offer: CAXSOL is committed to fostering talent and offering exceptional career development opportunities in an innovative and collaborative environment. Our benefits package reflects our dedication to our team's well-being, providing competitive compensation, and a supportive work culture. Interested in more? We can't wait to hear from you!

Dear Candidate, Greetings!! Please find thr details Location: Bangalore Notice period: 0 -30 days Experience: 10-15 Years Mode of work: Work from Office Database architect India: Deep database expertise. Expert in architecting data lake solutions Deep knowledge in designing and architecting Database systems Hands on with Apache services like Arrow, Parquet, Spark, etc Hands on experience with databases (postgres, redis ), Apache services ( Parquet, Arrow etc ) Deep Data Lake expertise Long term maintenance and support of this DB system Mandatory skills: Data lake & Apache Arrow Questions to check and share Questions Answer Do you have 7-8 years of Architecting & Designing DB solutions? Have you designed and implemented a data lake architecture? Do you have hands-on experience using Apache Parquet for data storage optimization? Have you ever used Apache Arrow for in-memory data processing or analytics acceleration? Do you have experience in implementing data ingestion pipelines - either through Batch or streaming? Have you been responsible for performance tuning in large-scale data lake environments (e.g., partitioning, file sizing)? Role & responsibilities Preferred candidate profile

Job Category: IT Job Type: Full Time Job Location: Bangalore Chennai Mumbai Pune Exp:- 4 to 5 Years Location:- Pune/Mumbai/Bangalore/Chennai JD : Azure Data Engineer with QA: Must Have - Azure Data Bricks, Azure Data Factory, Spark SQL Years - 4-5 years of development experience in Azure Data Bricks Strong experience in SQL along with performing Azure Data bricks Quality Assurance. Understand complex data system by working closely with engineering and product teams Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake or other data storage locations. Kind Note: Please apply or share your resume only if it matches the above criteria.

About the Role: Data Engineer Core Responsibilities: The candidate is expected to lead one of the key analytics areas end-to-end. This is a pure hands-on role. Ensure the solutions built meet the required best practices and coding standards. Ability to adapt to any new technology if the situation demands. Requirement gathering with the business and getting this prioritized in the sprint cycle. Should be able to take end-to-end responsibility of the assigned task Ensure quality and timely delivery. Preference and Experience- Strong at PySpark, Python, and Java fundamentals Good understanding of Data Structure Good at SQL queries/optimization Strong fundamentals of OOP programming Good understanding of AWS Cloud, Big Data. Nice to have Data Lake, AWS Glue, Athena, S3, Kinesis, SQL/NoSQL DB Academic qualifications- Must be a Technical Graduate B. Tech / M. Tech – Tier 1/2 colleges.

Overview As a data engineering lead, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. Responsibilities Act as a subject matter expert across different digital projects. Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. Responsible for implementing best practices around systems integration, security, performance, and data management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to productionalize data science models. Define and manage SLAs for data products and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 7+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture. 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 2+ years in cloud data engineering experience in Azure. Fluent with Azure cloud services. Azure Certification is a plus. Experience in Azure Log Analytics Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or Snowflake. Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). B Tech/BA/BS in Computer Science, Math, Physics, or other technical fields.

Job Title Senior Software Engineer Experience 12-20 Years Location Bangalore : Strong knowledge & hands-on experience in AWS Data Bricks Nice to have Worked in hp eco system (FDL architecture) Technically strong to help the team on any technical issues they face during the execution. Owns the end-to-end technical deliverables Hands on data bricks + SQL knowledge Experience in AWS S3, Redshift, EC2 and Lambda services Extensive experience in developing and deploying Bigdata pipelines Experience in Azure data lake Strong hands on in SQL development / Azure SQL and in-depth understanding of optimization and tuning techniques in SQL with Redshift Development in Notebooks (like Jupyter, DataBricks, Zeppelin etc) Development experience in Spark Experience in scripting language like python and any other programming language Roles and Responsibilities Candidate must have hands on experience in AWS Data Databricks Good development experience using Python/Scala, Spark SQL and Data Frames Hands-on with Databricks, Data Lake and SQL knowledge is a must. Performance tuning, troubleshooting, and debugging SparkTM Process Skills: Agile – Scrum Qualification: Bachelor of Engineering (Computer background preferred)

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle, often related to paradigms like - Building & managing Business data lakes and ingesting data streams to prepare data , Developing machine learning and predictive models to analyse data , Visualizing data , Empowering Information consumers with agile Data Models that enable Self-Service BI , Specialize in Business Models and architectures across various Industry verticals Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams , Document detailed business requirements, develop solution design and specifications. Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis Work closely with the solutions architecture team to define the target detailed solution to deliver the business requirements. Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Strong communication, facilitation, relationship-building, presentation, and negotiation skills Consultant must have a flair for storytelling and be able to present interesting insights from the data. Consultant should have good Soft skills like good communication, proactive, self-learning skills etc Consultants are expected to be flexible to the dynamically changing needs of the industry. Must have good exposure to Database management systems, Good to have knowledge about big data ecosystem like Hadoop. Hands on with SQL and good knowledge of noSQL based databases. Good to have working knowledge of R/Python language. Exposure to / Knowledge about one of the cloud ecosystems Google / AWS/ Azure What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Dear Candidate, We are hiring a Cloud Architect to design and oversee scalable, secure, and cost-efficient cloud solutions. Great for architects who bridge technical vision with business needs. Key Responsibilities: Design cloud-native solutions using AWS, Azure, or GCP Lead cloud migration and transformation projects Define cloud governance, cost control, and security strategies Collaborate with DevOps and engineering teams for implementation Required Skills & Qualifications: Deep expertise in cloud architecture and multi-cloud environments Experience with containers, serverless, and microservices Proficiency in Terraform, CloudFormation, or equivalent Bonus: Cloud certification (AWS/Azure/GCP Architect) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Work mode – Currently this is remote but it’s not permanent WFH , once business ask the candidate to come to office, they must relocate. Mandatory:- DE , Azure , synapse , SQL python , Pyspark, ETL,Fabric, • Exp.in Python for scripting or data tasks. Required Candidate profile • Hands-on exp in SQL& relational databases (SQL Server,PostgreSQL). • data warehousing concepts (ETL, • Hands-on exp in Azure data integration tools like DF, Synapse, Data Lake and Blob Storage.

Job Description: Head of Data and Digital, Delivery Bourntec Solutions Title: Head of Data and Digital, Delivery Level: Director Location: Hyderabad/Bhubaneshwar Role Overview: The Head of Data and Digital, Delivery is a critical leadership role responsible for the successful delivery of Bourntec Solutions' data and digital projects and services to our clients. This Director-level position will lead and manage a team of delivery managers, data scientists, digital specialists, and engineers, ensuring high-quality, on-time, and within-budget project execution. The ideal candidate will possess a strong technical background in data and digital technologies, coupled with exceptional leadership, delivery management, and client management skills. This role requires a strategic thinker with a proven ability to build and scale delivery teams, optimize processes, and drive client satisfaction. Key Responsibilities: Delivery Leadership & Management: Provide strategic leadership and direction to the Data and Digital Delivery teams. Oversee the end-to-end delivery lifecycle of data analytics, business intelligence, AI/ML, cloud, and other digital transformation projects. Manage and mentor a team of Delivery Managers, Data Scientists, Digital Specialists, and Engineers, fostering a high-performance and collaborative environment. Ensure projects are delivered with high quality, on time, within budget, and according to client specifications. Proactively identify and mitigate project risks and issues, escalating appropriately and implementing effective solutions. Establish and maintain strong relationships with client stakeholders, acting as a trusted advisor and point of escalation for delivery-related matters. Operational Excellence & Process Improvement: Define and implement best practices, methodologies, and standards for data and digital project delivery. Continuously evaluate and optimize delivery processes to improve efficiency, quality, and predictability. Establish and track key delivery metrics and KPIs, providing regular reports to senior management. Implement and enforce project governance frameworks and compliance standards. Drive the adoption of relevant tools and technologies to enhance delivery capabilities. Team Building & Talent Development: Recruit, onboard, and develop top talent within the Data and Digital Delivery teams. Foster a culture of continuous learning and professional development within the team. Conduct performance reviews, provide feedback, and identify opportunities for growth. Build a scalable and agile delivery organization to support the company's growth objectives. Client Relationship Management: Serve as a key point of contact for executive-level client stakeholders regarding project delivery. Understand client business needs and ensure delivery aligns with their strategic goals. Proactively manage client expectations and ensure high levels of client satisfaction. Identify opportunities for expanding services and solutions within existing client engagements. Strategic Contribution: Contribute to the overall strategic planning and direction of Bourntec Solutions' data and digital offerings. Stay abreast of the latest trends and advancements in data and digital technologies. Collaborate with Sales and Pre-sales teams to develop compelling proposals and solutions for clients. Contribute to the development of new service offerings and intellectual property. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Minimum of 15+ years of progressive experience in data and digital technology delivery, with at least 5+ years in a leadership role managing delivery teams. Proven track record of successfully delivering complex data analytics, business intelligence, AI/ML, cloud, or digital transformation projects for enterprise clients. Strong technical understanding of data warehousing, data lakes, ETL/ELT processes, data modeling, AI/ML algorithms, cloud platforms (AWS, Azure, GCP), and modern digital technologies. Excellent leadership, communication (written and verbal), interpersonal, and presentation skills. Strong client management and stakeholder management skills, with the ability to build and maintain trusted relationships. Proven ability to build, mentor, and motivate high-performing delivery teams. Experience in establishing and implementing delivery methodologies, standards, and processes. Strong analytical and problem-solving skills with a data-driven approach. Experience with project management tools and software. Ability to thrive in a fast-paced and dynamic environment. Preferred Qualifications: Relevant certifications in project management (e.g., PMP, Agile certifications) or cloud platforms. Experience working in a services-based organization. Familiarity with industry-specific data and digital solutions. Bourntec Solutions is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are seeking an experienced Data Architect to join our team , working with our UAE-based client. The ideal candidate should have 8-12 years of hands-on experience in data architecture, with at least 4 years in architectural design and integration. Strong expertise in MS Dynamics and data lake architecture is required, along with proficiency in ETL, data modeling, data integration, and data quality assurance. The candidate should have a strong problem-solving mindset, the ability to handle architectural issues, and experience in troubleshooting. They should also be a proactive contributor and a team player with a flexible attitude. The role requires immediate availability and the ability to work as per UAE timings. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Remote

About the Role - We are seeking a highly skilled and experienced Senior Data Scientist to join our data science team. - As a Senior Data Scientist, you will play a critical role in driving data-driven decision making across the organization by developing and implementing advanced analytical solutions. - You will leverage your expertise in data science, machine learning, and statistical analysis to uncover insights, build predictive models, and solve complex business challenges. Key Responsibilities - Develop and implement statistical and machine learning models (e.g., regression, classification, clustering, time series analysis) to address business problems. - Analyze large and complex datasets to identify trends, patterns, and anomalies. - Develop predictive models for forecasting, churn prediction, customer segmentation, and other business outcomes. - Conduct A/B testing and other experiments to optimize business decisions. - Communicate data insights effectively through visualizations, dashboards, and presentations. - Develop and maintain interactive data dashboards and reports. - Present findings and recommendations to stakeholders in a clear and concise manner. - Work with data engineers to design and implement data pipelines and data warehousing solutions. - Ensure data quality and integrity throughout the data lifecycle. - Develop and maintain data pipelines for data ingestion, transformation, and loading. - Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. - Research and evaluate new technologies and tools to improve data analysis and modeling capabilities. - Explore and implement new data science techniques and methodologies. - Collaborate effectively with data engineers, business analysts, product managers, and other stakeholders. - Communicate technical information clearly and concisely to both technical and non-technical audiences. Qualifications Essential - 4+ years of experience as a Data Scientist or in a related data science role. - Strong proficiency in statistical analysis, machine learning algorithms, and data mining techniques. - Experience with programming languages like Python (with libraries like scikit-learn, pandas, NumPy) or R. - Experience with data visualization tools (e.g., Tableau, Power BI). - Experience with data warehousing and data lake technologies. - Excellent analytical, problem-solving, and communication skills. - Master's degree in Statistics, Mathematics, Computer Science, or a related field Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Job Position Python Lead Total Exp Required 6+ years Relevant Exp Required around 5 Mandatory skills required Strong Python coding and development Good to have skills required Cloud, SQL , data analysis skills Location Pune - Kharadi - WFO - 3 days/week. About The Role : We are seeking a highly skilled and experienced Python Lead to join our team. The ideal candidate will have strong expertise in Python coding and development, along with good-to-have skills in cloud technologies, SQL, and data analysis. Key Responsibilities : - Lead the development of high-quality, scalable, and robust Python applications. - Collaborate with cross-functional teams to define, design, and ship new features. - Ensure the performance, quality, and responsiveness of applications. - Develop RESTful applications using frameworks like Flask, Django, or FastAPI. - Utilize Databricks, PySpark SQL, and strong data analysis skills to drive data solutions. - Implement and manage modern data solutions using Azure Data Factory, Data Lake, and Data Bricks. Mandatory Skills : - Proven experience with cloud platforms (e.g. AWS) - Strong proficiency in Python, PySpark, R, and familiarity with additional programming languages such as C++, Rust, or Java. - Expertise in designing ETL architectures for batch and streaming processes, database technologies (OLTP/OLAP), and SQL. - Experience with the Apache Spark, and multi-cloud platforms (AWS, GCP, Azure). - Knowledge of data governance and GxP data contexts; familiarity with the Pharma value chain is a plus. Good to Have Skills : - Experience with modern data solutions via Azure. - Knowledge of principles summarized in the Microsoft Cloud Adoption Framework. - Additional expertise in SQL and data analysis. Educational Qualifications Bachelor's/Master's degree or equivalent with a focus on software engineering. If you are a passionate Python developer with a knack for cloud technologies and data analysis, we would love to hear from you. Join us in driving innovation and building cutting-edge solutions! Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Role Python Developer Location Bangalore Experience4 - 7 Yrs Employment Type Full Time, Working mode Regular Notice Period Immediate - 15 Days About the Role : We are seeking a skilled Python Developer to join our dynamic team and contribute to the development of innovative data-driven solutions. The ideal candidate will have a strong foundation in Python programming, data analysis, and data processing techniques. This role will involve working with various data sources, including Redis, MongoDB, SQL, and Linux, to extract, transform, and analyze data for valuable insights. You will also be responsible for developing and maintaining efficient and scalable data pipelines and visualizations using tools like matplotlib and seaborn. Additionally, experience with web development frameworks such as Flask, FastAPI, or Django, as well as microservices architecture, will be a significant advantage. Key Responsibilities : - Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load (ETL) data from various sources, including Redis, MongoDB, SQL, and Linux. - Conduct in-depth data analysis and processing using Python libraries and tools to uncover valuable insights and trends. - Develop and maintain data visualizations using matplotlib, seaborn, or other relevant tools to effectively communicate findings to stakeholders. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Develop and maintain web applications using Python frameworks like Flask, FastAPI, or Django, adhering to best practices and coding standards. - Design and implement microservices architecture to build scalable and modular systems. - Troubleshoot and resolve technical issues related to data pipelines, applications, and infrastructure. - Stay updated with the latest trends and technologies in the data engineering and Python development landscape. Required Skills and Qualifications : - Strong proficiency in Python programming, including object-oriented programming and functional programming concepts. - Experience with data analysis and processing libraries such as pandas, NumPy, and scikit-learn. - Familiarity with data storage and retrieval technologies, including Redis, MongoDB, SQL, and Linux. - Knowledge of data visualization tools like matplotlib and seaborn. - Experience with web development frameworks such as Flask, FastAPI, or Django. - Understanding of microservices architecture and principles. - Excellent problem-solving and analytical skills. - Ability to work independently and as part of a team. - Strong communication and interpersonal skills. Preferred Skills and Qualifications : - Experience with cloud platforms (AWS, GCP, Azure). - Knowledge of containerization technologies (Docker, Kubernetes). - Familiarity with data warehousing and data lake concepts. - Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch). Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Job Role Big Data Engineer Work Location Bangalore (CV Ramen Nagar location) Experience 7+ Years Notice Period Immediate - 30 days Mandatory Skills Big Data, Python, SQL, Spark/Pyspark, AWS Cloud JD and required Skills & Responsibilities - Actively participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing, roll-out, and support. - Solve complex business problems by utilizing a disciplined development methodology. - Produce scalable, flexible, efficient, and supportable solutions using appropriate technologies. - Analyse the source and target system data. Map the transformation that meets the requirements. - Interact with the client and onsite coordinators during different phases of a project. - Design and implement product features in collaboration with business and Technology stakeholders. - Anticipate, identify, and solve issues concerning data management to improve data quality. - Clean, prepare, and optimize data at scale for ingestion and consumption. - Support the implementation of new data management projects and re-structure the current data architecture. - Implement automated workflows and routines using workflow scheduling tools. - Understand and use continuous integration, test-driven development, and production deployment frameworks. - Participate in design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards. - Analyze and profile data for the purpose of designing scalable solutions. - Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues. Required Skills - 5+ years of relevant experience developing Data and analytic solutions. - Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive & PySpark - Experience with relational SQL. - Experience with scripting languages such as Python. - Experience with source control tools such as GitHub and related dev process. - Experience with workflow scheduling tools such as Airflow. - In-depth knowledge of AWS Cloud (S3, EMR, Databricks) - Has a passion for data solutions. - Has a strong problem-solving and analytical mindset - Working experience in the design, Development, and test of data pipelines. - Experience working with Agile Teams. - Able to influence and communicate effectively, both verbally and in writing, with team members and business stakeholders - Able to quickly pick up new programming languages, technologies, and frameworks. - Bachelor's degree in computer science Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

About the Role - We are seeking a highly skilled and experienced Senior Azure Databricks Engineer to join our dynamic data engineering team. - As a Senior Azure Databricks Engineer, you will play a critical role in designing, developing, and implementing data solutions on the Azure Databricks platform. - You will be responsible for building and maintaining high-performance data pipelines, transforming raw data into valuable insights, and ensuring data quality and reliability. Key Responsibilities - Design, develop, and implement data pipelines and ETL/ELT processes using Azure Databricks. - Develop and optimize Spark applications using Scala or Python for data ingestion, transformation, and analysis. - Leverage Delta Lake for data versioning, ACID transactions, and data sharing. - Utilize Delta Live Tables for building robust and reliable data pipelines. - Design and implement data models for data warehousing and data lakes. - Optimize data structures and schemas for performance and query efficiency. - Ensure data quality and integrity throughout the data lifecycle. - Integrate Azure Databricks with other Azure services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Blob Storage). - Leverage cloud-based data services to enhance data processing and analysis capabilities. Performance Optimization & Troubleshooting - Monitor and analyze data pipeline performance. - Identify and troubleshoot performance bottlenecks. - Optimize data processing jobs for speed and efficiency. - Collaborate effectively with data engineers, data scientists, data analysts, and other stakeholders. - Communicate technical information clearly and concisely. - Participate in code reviews and contribute to the improvement of development processes. Qualifications Essential - 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Azure Databricks. - Strong proficiency in Python and SQL. - Expertise in Apache Spark and its core concepts (RDDs, DataFrames, Datasets). - In-depth knowledge of Delta Lake and its features (e.g., ACID transactions, time travel). - Experience with data warehousing concepts and ETL/ELT processes. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Bachelor's degree in Computer Science, Computer Engineering, or a related field. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.