Data Analytics Engineer SQL in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Roles and Responsibilities Architect and maintain enterprise-grade ELT and ETL data pipelines using Python, PySpark, Kafka, and Databricks to manage large-scale risk data. Build and deploy GenAI agents utilizing Google ADK, Google Flash 2.5+ LLMs, and Model Context Protocol (MCP) integrated with Human-in-the-Loop workflows. Design, automate, and deploy microservice integrations for data-intensive applications on OpenShift and Kubernetes using robust CI/CD pipelines. Implement data federation layers supporting Lambda and Data Mesh architectures via Starburst to enable AI/ML and NLP use cases. Leverage agentic AI platforms and development assistants such as https://jobeax.com/link/FLl2iJ9Ts45AZ1a3 and GitHub Copilot with prompt engineering to increase engineering velocity. Enforce data governance, risk management policies, and regulatory compliance standards across all data platforms.
Preferred Candidate Profile Work Experience: 8+ years in large-scale application development with 5+ years in a Python and PySpark Data Engineering lead role. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, Kafka, SQL, Data Mesh, Starburst. Infrastructure and Cloud: Kubernetes, OpenShift, Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... requirements Experience: 8+ years of professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: ...
... data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence. We are seeking a Lead Data Engineer to join our Measurement team within ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...
... https://jobeax.com/link/TEtw0SgP3UR1RgAh : Senior Data https://jobeax.com/link/gTHUyXDKJ42uWexF are looking for a highly skilled Senior Data Engineer with strong expertise in Data Architecture, System Design, Python, and SQL to design, build, and own end-to-end production data pipelines powering analytics and business https://jobeax.com/link/31g3t2QRSRYuSEHD ...
... analytics solution design with minimal guidance - typically components with clear input/output requirements such as predictive models, allocation schemes, or data transformation pipelines- Design, develop, prototype, and test analytics algorithms, writing clear specifications for implementation by engineering teams where ...
... the teamThe Superpowers You'll Be Bringing To The Team : - Analytics expertise : 7+ years' experience in a highly technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership ...
... global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning within Supply Chain . (prior experience collaborating with global ...
Role :Lead Engineer - Conversion/Migration Skills - Mandatory-SQL Server, ETL/Data Migration Skills - Good to have -SSIS, Azure Data Factory Work location: Kochi/Trivandrum Total Experience: 6-9 years Strong hands-on expertise in SQL Server (T-SQL) and relational database design, with solid experience in data migration ...
... definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand data issues and Conduct root cause analysis. Prepare Ageing report on the pending issues and follow up to closure Key Skill SQL / Python ...
... Master’s degree in Data Analytics, Information Systems, Computer Science, Accounting, Finance, or related field. - 6-8 years of experience in Internal Audit, Data Analytics, Assurance, or similar analytical roles. - Strong hands‑on experience with SQL and at least one programming language (Python or R). - Experience with ...
... exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will own the full modeling workflow from exploratory analysis and feature engineering through to building reproducible pipelines that can be deployed into production for our customers.
... to leadership- Align practice goals with overall company strategyJob Summary : - 16+ years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- ...
... subject matter expert in SQL and database performance. What You Will Do As A Data Warehouse Engineer Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer. Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets. ...
... data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. Optimize and troubleshoot distributed systems for ingestion, storage, and processing. Collaborate with data engineers, analysts, and platform ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... Shishir's team, Data analytics CoE head. Someone that can help with the reporting needs, need resource who can support here. Require more data visualization, know data engineering as well. -SQL Tableau -SQL - Need to create data for powerBI and tableua, done in SQL - BCG Data Lake is entirely snowflake - Write SQL queries in ...
... integrate data solutions into the overall architecture. Previous experience in Data Engineering, we're looking for around 3-7 years worth of experience. Strong SQL skills and experience working with relational databases such as Snowflake, PostgreSQL, or MySQL. Experience building and maintaining data pipelines and ETL workflows ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... cost-aware query design. Advanced SQL skills, including window functions, recursive CTEs, complex joins, MERGE patterns, and query performance tuning against large datasets. Strong Python development experience for data engineering — building ingestion jobs, transformation logic, reusable libraries, and automation scripts. Experience ...