Senior Data Engineer
ADA Global9 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, and optimize robust ETL/ELT pipelines using Python, SQL, and Apache Spark.
- Implement and manage scalable data solutions on AWS, GCP, or Azure.
- Architect dimensional, star-schema, and snowflake-schema data models for data lakes, warehouses, and reporting layers.
- Monitor, troubleshoot, and tune pipelines and queries for performance and cost efficiency.
- Gather requirements and deliver data solutions with client-facing and cross-functional teams.
- Apply engineering practices including CI/CD, version control, and testing.
Requirements
- 2 to 4 years of hands-on software or data engineering experience, preferably in a client-facing or IT services environment.
- Advanced proficiency in SQL and Python, including complex queries, performance tuning, scripting, and data manipulation.
- Strong practical experience with Apache Spark and PySpark for distributed data processing.
- Hands-on implementation experience with at least one major cloud ecosystem: AWS, GCP, or Azure.
- Understanding of data warehousing, ETL/ELT architecture, workflow orchestration, and data governance.
- Experience with dbt or Snowflake is desirable.
- Experience with Docker and Kubernetes is desirable.
- Exposure to Kafka and Spark Streaming is desirable.
Benefits
- The position is onsite, as indicated by the #LI-Onsite designation.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSAzureDatabricksdbtDockerGoogle BigQueryGoogle CloudGoogle Cloud PlatformKubernetesPythonSnowflakeSQL
Categories
Data Engineering
About ADA Global
ADA Global builds data and AI platforms and services that help enterprises manage identity and authentication, personalization, commerce, and analytics across channels. Operating in 14 markets, it serves more than 1,500 brands in CPG, retail, telecommunications, financial services, and healthcare. Its business combines software and managed services, including cloud-native deployment, data engineering, and applied machine learning to improve customer experience and growth outcomes.