Job highlights

- Data transformation workflows. Batch processing jobs. Data integration solutions. Strong understanding of data extraction,transformation,and loading processes across multiple systems.
- Exposure to Python for automation,scripting,or data processing is preferred.
- Experience in Banking / Financial Services domain is preferred

Role Overview Risk Consulting SQL & ETL Developer - Senior

We are looking for a team player who brings strong expertise with 4-6 years of experience in SQL Development, ETL, Database Management, Data Modeling, and Data Validation, along with exposure to data warehousing and performance tuning.

Responsibilities

- Expert-level proficiency in SQL with hands-on experience in:
- Complex Joins
- Window Functions
- Common Table Expressions (CTEs)
- Stored Procedures
- Query Optimization
- Execution Plan Analysis
- Indexing Strategies
- Partitioning
- Performance Tuning

- Strong experience designing and developing ETL/ELT pipelines using tools such as:

- Azure Data Factory (ADF)
- SSIS
- Informatica
- Talend
- DataStage
- Spark/PySpark
- Equivalent enterprise ETL platforms

- Hands-on experience building and maintaining:

- Data Ingestion Pipelines
- Incremental Load Frameworks
- Batch Processing Solutions
- Data Transformation Pipelines
- Data Integration Workflows





- Solid understanding of Data Warehouse concepts including:

- Star Schema
- Snowflake Schema
- Fact & Dimension Tables
- Slowly Changing Dimensions (SCD)
- Change Data Capture (CDC)
- Data Modeling Techniques

- Experience working with large-scale relational and analytical databases such as:

- SQL Server
- Oracle
- PostgreSQL
- Snowflake
- Azure Synapse
- Teradata

- Experience building and maintaining:

- Data transformation workflows
- Batch processing jobs
- Data integration solutions

- Strong understanding of data extraction, transformation, and loading processes across multiple systems.
- Experience working with relational databases such as SQL Server, Oracle, PostgreSQL, Snowflake, or equivalent.
- Ability to analyze business requirements and translate them into efficient ETL solutions.
- Experience investigating and resolving data issues using SQL and ETL troubleshooting techniques.
- Exposure to Python for automation, scripting, or data processing is preferred.
- Familiarity with version control systems such as Git and Agile ways of working.
- Strong analytical, communication, and problem-solving skills.

Qualifications
- Experience in Banking/Financial Services domain is preferred.

📌 Risk Analytics - SQL and ETL Developer - Senior (Bengaluru)
🏢 EY
📍 Bengaluru