Senior Data Engineer

Overview

Senior Data Engineer on the Marketing Operations team, responsible for building scalable data warehouse models and pipelines that support analytics and decision-making across business functions.

What you'll do

• Design and implement data pipelines that meet quality standards and SLAs.
• Assemble complex datasets for functional requirements.
• Partner with architects, domain experts, analysts, and other teams to build trusted data foundations.
• Champion data governance, security, privacy, quality, and retention practices.
• Own and document data pipelines and lineage.
• Support the data warehouse, ETL, and BI technology ecosystem.

What you'll need

• 8+ years of experience in data management or related data engineering areas.
• 4+ years collaborating cross-functionally on data management and analytics initiatives.
• Experience with Sales, Finance, and product usage data.
• Expertise in dimensional modeling, warehouse optimization, performance tuning, and ETL pipelines.
• Understanding of relational and big data systems.
• Ability to work across ETL, data modeling, and complex SQL.
• Strong written, verbal, problem-solving, and interpersonal skills.

Nice to have

• Prior experience with Airflow.
• Experience with Snowflake, Redshift, Hadoop, Hive, or Spark.
• Proficiency in Python or similar programming languages.

Details

• Location: Hyderabad, Telangana, India.