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Opening with EY_SQL and Data Engineer

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Hybrid

Opening with EY_SQL and Data Engineer

EY

Opening with EY_SQL and Data Engineer

Skills

SQL QueriesData MiningPythonPostgreSQLSnowflakeGitOraclePySparkTalendAzure

23 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

29 September 2026

What they need


Role & responsibilities

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.

  • 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 ingestion pipelines

  • 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.

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