Sr Data Engineer

We are hiring for a Senior Data Engineer to join a fast-growing data organization building scalable data products that enable business teams to analyze subscriber movements, measure key business metrics, and support revenue generation initiatives.

💡 Why Join?

Work on large-scale data engineering problems involving data modeling, ETL pipelines, data warehousing, orchestration, and performance optimization. You'll collaborate with engineering, analytics, infrastructure, and business teams to build scalable data solutions that directly support business decision-making and revenue initiatives.

Roles and Responsibilities:

• 5+ years of experience in Data Engineering with strong hands-on experience building data pipelines and data warehouse solutions.
• Partner with technical and non-technical stakeholders to understand data, reporting, and business requirements.
• Work with engineering teams to collect and integrate data from internal and external systems.
• Design scalable and performant data models , including dimensional modeling and database normalization.
• Design and develop robust ETL/ELT pipelines and define appropriate data integration strategies.
• Develop and maintain ETL workflows using orchestration tools such as Apache Airflow .
• Build and implement automated Data Quality checks to ensure accuracy, consistency, and reliability of data.
• Work with relational databases and distributed data systems such as Snowflake or Amazon Redshift .
• Perform advanced SQL and ETL performance tuning to optimize data processing and query performance.
• Work with technologies such as Python, PySpark, Spark, Databricks, or EMR for large-scale data processing.
• Implement database deployments and schema changes using tools such as Schema Change .
• Build and report on business KPIs and metrics within data warehousing environments.
• Perform ad hoc data analysis and support business teams with data-driven insights.
• Participate in Agile/Scrum ceremonies and collaborate closely with cross-functional engineering and analytics teams.
• Strong understanding of data modeling principles, including dimensional modeling and normalization .
• Strong SQL expertise with the ability to analyze and optimize complex queries and data workloads.
• Strong analytical and problem-solving skills with the ability to translate business requirements into scalable data solutions.
• Excellent written and verbal communication skills.

Location: (Bangalore Onsite)