Lead Data Engineer - R01565383

Brillio 2

Bangalore, Karnataka, India Hybrid permanent

Posted: May 15, 2026

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Quick Summary

Design, develop, and implement data pipelines for large-scale data warehousing and ETL processes, leveraging AWS services such as Glue, Lambda, and S3.

Required Skills

Athena Step Functions Spark Pyspark ETL SQL Glue Python Lambda Data Warehousing AWS EC2

Job Description

Lead Data Engineer

Primary Skills:
• Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front

Specialization:
• AWS Data EngineerIng Basic: Senior Data Engineer

Job requirements:
• Strong experience in data engineering, ETL (preferably Informatica), and data architecture ● Experience working with Salesforce platforms and data models ● Hands-on experience with Airflow and MuleSoft ● Strong SQL skills with Snowflake and other relational databases ● Experience writing complex Python modules for custom ETL workflows ● Expertise in building batch and real-time data pipelines ● Experience with dbt for data transformation and modeling ● Familiarity with AWS/GCP and distributed/event-driven architectures ● Strong understanding of data modeling, data warehousing, and big data processing ● Experience with data quality, monitoring, and pipeline orchestration frameworks ● Ability to work closely with Product, Data Science, and Analytics teams ● Experience working on Salesforce Flows and Apex is a plus ● Good understanding of Agile delivery process

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