Data Engineer with SQL in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities
Data Pipeline Development Implement robust, scalable data pipelines using Microsoft Azure and Databricks stack Build reusable data pipeline components and frameworks Design and optimize data workflows for performance and reliability Monitor pipeline health and implement automated alerting Database Architecture Design relational and non-relational database schemas MongoDB: schema design, aggregation pipelines, indexing, sharding, replica sets, performance tuning Azure Cosmos DB: multi-model access, partitioning, consistency levels, throughput management (RU/s), global distribution Azure Cosmos DB Gremlin API: graph data modeling, traversals, vertex/edge design, relationship analytics API Development Build RESTful APIs using FastAPI with async endpoint design Implement Pydantic models, middleware, dependency injection, background tasks Generate and maintain auto-generated OpenAPI/Swagger documentation Configure Azure API Management (APIM) for API gateway and security Project & Stakeholder Management Collect progress updates from squads regularly Consolidate updates into weekly project status reports Develop L3-level project plans with task details, milestones, dependencies Participate in early-stage design and feature definition Communicate complex data insights to non-technical stakeholders Collaboration & Integration Work across multiple engineering teams on prototype integration Support integration of proven prototypes into core intelligence products Strong team collaboration and cross-functional communication Knowledge sharing and documentation Required Experience: Data Engineering & Databases
4+ years data engineering or data platform experience
API & Backend Development FastAPI proficiency: async endpoints, Pydantic models, middleware, dependency injection Background tasks and job scheduling RESTful API design and best practices OpenAPI/Swagger documentation Cloud Platform Azure fundamentals and hands-on experience Azure Data Factory or Databricks for ETL/ELT Azure Cosmos DB multi-region setup Azure API Management (APIM) configuration Data Pipeline Skills ETL/ELT pipeline design and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability
Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management Agile/Scrum development model CI/CD pipeline experience
... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...
... Ventures, the VC of the world's largest automotive company, and 4DX Ventures, a leading early-stage investor in Africa. Zeno is seeking a highly skilled and hands-on Data Engineer to design, build, and scale our global data ecosystem. Sitting within our core Global Insights Node , this role is not a traditional corporate dashboard-building ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career in data engineering, this is the perfect opportunity for you! In this role, you will work closely with senior engineers to build, maintain, and optimize data pipelines. ...
... Minimum 7 years as a Data Engineer or similar role. Hands-on experience with Databricks, Delta Lake, Spark, and Scala. Proven ability to design, build, and operate Data Lakes or Data Warehouses. Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect). Familiarity with Change Data Capture tools (Canal, Debezium, ...
... real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems. Hands-on work building data pipelines (batch and/or streaming) using at least one distributed framework (e.g., Comfortable with SQL and a transformation framework (e.g., Familiarity with ...
... AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage Airflow workflows and Amazon EMR clusters. Integrate data services with API Gateway and REST/Soap APIs. Required qualifications - 3 to 5 years of experience in data engineering. - Proficient in AWS S3, Glue, Lambda, ...
... scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing - 2+ years of hands-on experience with SSAS Tabular Models - Experience designing data ...
... teams including data analysts and engineers. Write reusable, efficient, and well-documented code. Integrate APIs and third-party services. Troubleshoot and debug data-related issues. Required Skills Strong proficiency in Python. Experience with data libraries like Pandas, NumPy. Hands-on experience with SQL and relational databases. ...
... 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 ...
... understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data Analysis experience - Proficient in SQL
... reusable, scalable, and maintainable Python code. Write complex and optimized SQL queries , stored procedures, joins, subqueries, and CTEs. Work with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server . Develop and integrate REST APIs and backend services. Troubleshoot application and database-related issues ...
... reusable, scalable, and maintainable Python code. Write complex and optimized SQL queries , stored procedures, joins, subqueries, and CTEs. Work with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server . Develop and integrate REST APIs and backend services. Troubleshoot application and database-related issues ...
... technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloging Excellent communication skills with the ability to convey complex ...
... 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: ...
... Snowflake ~ SQL - Experience - 8+ years of software engineering experience with a strong data focus, including designing, building, and operating production data systems in fast-paced environments. - Demonstrated experience providing technical leadership within an engineering team, including guiding technical direction, ...
... 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 ...