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Sr Risk Analytics - SQL & ETL Developer

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Onsite

Sr Risk Analytics - SQL & ETL Developer

EY

Sr Risk Analytics - SQL & ETL Developer

Skills

SQL QueriesData MiningPythonPostgreSQLSnowflakeGitData AnalysisOraclePySparkTalendAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 September 2026

What they need


Job Summary

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
  • Strong 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.
  • Experience in Banking/Financial Services domain is preferred.

Qualifications

Key Skills

  • SQL
  • ETL/ELT

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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