Key Responsibilities
• Build and maintain ETL/ELT pipelines for ingesting, transforming, and loading data
• Develop and maintain structured datasets for analytics, reporting, and downstream applications
• Write and optimize SQL queries to process large-scale datasets efficiently
• Implement data transformation logic using Python or Groovy
• Work with Spark, Airflow, NiFi, and other platform components to build scalable data workflows
• Integrate data from multiple internal and external sources
• Perform data validation and identify data quality issues
• Troubleshoot pipeline failures and optimize performance
• Participate in designing scalable data models and warehouse structures
• Collaborate with senior engineers, product teams, and business stakeholders to deliver data solutions
• Contribute to automation, monitoring, and operational excellence of the data platform
• Follow engineering best practices for testing, documentation, and code quality Key Requirements




• 2–4 years of experience in Data Engineering, Backend Engineering, or a related role
• Strong proficiency in Python, Groovy, or similar scripting languages
• Positive understanding of ETL/ELT pipeline development and data transformation techniques
• Hands-on experience with SQL and relational databases
• Experience with OLAP databases such as ClickHouse, Amazon Redshift, or Snowflake is preferred
• Experience working with Apache Spark, Apache Airflow, or similar distributed data processing and orchestration frameworks
• Familiarity with data ingestion tools such as Apache NiFi or equivalent
• Experience working with Amazon S3, MinIO, or other object storage systems
• Good understanding of data modeling principles for analytics and reporting
• Strong analytical and problem-solving skills
• Good communication and collaboration skills

📌 Data Engineer (Gurugram)
🏢 Comviva
📍 Gurugram