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EY

Senior Associate, Data Engineer

EY

. Collaborate with business reporting and other teams to understand business requirements and perform data analysis .

Posted 9/25/2026full-timeKochi • IndiaSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudETLPySparkPythonSQLSSIS

About the role

Key responsibilities & impact
  • Collaborate with business reporting and other teams to understand business requirements and perform data analysis
  • Lead project transitions between teams, including post-transition enhancements and modifications
  • Work across multiple projects with back-end data architects and systems engineers to construct data objects
  • Create SSIS, SQL, and Azure Data Factory packages to extract, transfer, and load data
  • Support and troubleshoot existing ETL processes
  • Analyze large datasets, determine patterns and rules, and prepare Power BI visualization dashboards
  • Build Azure Data Factory pipelines to load large datasets
  • Design and support database and table structures for new and evolving data sources
  • Perform detailed data analysis to ensure data quality
  • Take end-to-end ownership across analysis and development phases
  • Manage client expectations, provide proactive communication and status updates, and follow change control and release management processes
  • Frame business problems, develop analytical strategies, and recommend changes in business decision-making
  • Contribute as a senior team member to technical streams of Decision Sciences implementation projects
  • Interface with onsite coordinators
  • Document and present work to clients
  • Complete assigned tasks on time and provide regular status reports to the lead

Requirements

What you’ll need
  • More than 5 years of experience as a data analyst and SQL/T-SQL/SSIS developer, ETL/Databricks/Power BI/Azure Cloud Developer specifically ADF
  • Bachelor’s/master’s degree in a related field
  • Python coding experience
  • Experience working in an agile environment
  • Excellent written and verbal communication skills
  • Experience with SSIS, SQL, Azure Data Factory, Databricks, data lakes, Synapse, Power BI, database management, data modelling, Python/PySpark, Git/GitHub, and Gen AI tools
  • Ability to handle multiple projects and coordinate between teams
  • Prior client-facing skills are a plus
  • Working knowledge of MS Excel Macros is an advantage
  • Experience with Power Platform tools (Power Apps/Power Automate) is advantageous