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Kochi · On-site · 3-6 Yrs · Sep 29
61 open roles0 posted in 7d61 in 30d
Hiring: Engineering
Job description
Overview
You will design and implement big data engineering solutions within the Azure ecosystem, owning the full solution delivery lifecycle from analysis to production support.
Responsibilities
- Develop, deploy, and optimize Azure Databricks solutions and ETL pipelines using Azure Cloud services.
- Convert business challenges into secure, scalable, and high-performance technical solutions.
- Optimize model code for faster execution and improved performance.
- Implement enterprise-grade solutions using software development best practices and Agile methodologies.
- Manage DevOps and CI/CD deployment workflows for data ingestion and analytical pipelines.
Qualifications
- 3 to 7 years of experience developing data ingestion, processing, and analytical pipelines.
- Hands-on experience with Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, and Azure SQL DB.
- Proficiency in Python and PySpark.
- Strong expertise in SQL and procedural SQL languages.
- Solid understanding of Data Warehouse (DWH) concepts and Snowflake implementation.
- Degree in Computer Science or an equivalent field.
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Job application FAQ
Last updated 29 September 2026
- How do I apply for AI and Data - Azure Databricks - Senior at EY?
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- Is AI and Data - Azure Databricks - Senior remote or on-site in Kochi, Keralam?
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