Senior Data Engineer

Overview

Senior Data Engineer to build and operate scalable, cloud-native data platforms for enterprise and regulated clients.

What you'll do

• Partner with business and technology stakeholders to build and enhance reliable, scalable data platforms.
• Design, build, and operate batch and streaming data pipelines.
• Develop high-throughput, low-latency data processing systems.
• Work in the Databricks and Apache Spark ecosystem to support large-scale workloads.
• Build cloud-native data solutions on AWS and use dbt for transformation, modelling, testing, and documentation.
• Orchestrate workflows using Airflow (or similar) and support production systems by troubleshooting and improving continuously.

What you'll need

• 5+ years of hands-on experience in data engineering roles.
• Strong coding skills in Python, Java, or similar, plus strong SQL capability.
• Proven experience building and operating batch and streaming pipelines in production.
• Hands-on experience with AWS, Databricks/Spark, and modern data architectures.
• Hands-on experience using dbt for transformations and Airflow (or equivalent) for orchestration.
• Solid understanding of data modelling, data quality, and production data systems.
• Experience working with relational databases such as Postgres or SQL Server.

Details

• Location: Mumbai, MH, India.
• Work tools/stack mentioned: AWS, Databricks, Apache Spark, dbt, Airflow, and CI/CD plus monitoring/observability tooling.