Senior Data Engineer - I

Overview

Senior Data Engineer responsible for building and optimizing data pipelines for extraction, transformation, and loading across multiple data sources.

What you'll do

• Build ETL infrastructure using SQL and AWS technologies.
• Develop, maintain, and optimize ETLs for accuracy, stability, availability, and performance.
• Integrate data from different sources and perform basic feasibility checks.
• Support complex queries and data requests with accurate, guidance-driven responses.
• Ensure data accuracy through validation, verification, and data quality standards.
• Automate chart and graph generation to improve reporting efficiency.
• Suggest improvements by evaluating tools, systems, and databases.

What you'll need

• 10+ years of experience with a Bachelor’s degree in relevant fields, or no prior experience required with a Master’s degree.
• Strong knowledge of big data tools such as AWS Redshift and Hadoop.
• Experience building ETLs for data extraction, transformation, and loading.
• Knowledge of SQL and AWS technologies.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or equivalent.

Nice to have

• Knowledge of Airflow, AWS Glue, S3, AWS EMR, streaming data pipelines, and Kafka/Kinesis.

Details

• Location: Bangalore.
• Work mode: hybrid (in-person at least 3 days per week).