Job Overview We are seeking a highly experienced Lead ETL Test Engineer with strong expertise in data validation, data pipelines, and big data ecosystems. The ideal candidate will lead end-to-end testing strategies across data warehouses, ETL pipelines, and modern data platforms, ensuring data quality, integrity, and performance at scale. This role requires deep technical proficiency in big data tools, strong programming skills, and experience with cloud-native environments.

Primary Skills

Expertise in ETL testing and data validation across complex pipelines Strong proficiency in Python programming Hands-on experience with PySpark and/or Scala for large-scale data processing Advanced knowledge of SQL, data modeling, and database testing (SQL & NoSQL) Experience with data warehouses and data lakes (e.g., Snowflake) Strong experience with Databricks Deep understanding of Big Data ecosystems Experience in testing data pipelines and ETL workflows Strong understanding of data modeling techniques Input/output validation for ML pipelines Good to Have Skills Experience with Apache Flink (streaming and batch processing) Exposure to CI/CD pipelines (Jenkins, GitLab, etc.) Knowledge of Docker and Kubernetes for containerized environments Working knowledge of Linux and shell scripting Hands-on experience with AWS backend services Responsibilities and Duties Lead end-to-end testing strategy for ETL pipelines, data warehouses, and big data platforms Design and implement scalable data validation frameworks Perform database testing across SQL and NoSQL systems Validate data across data lakes (e.g., Snowflake)



and distributed systems Review and improve test code and automation frameworks Collaborate with data engineers to ensure data quality and pipeline reliability Build and maintain automated testing solutions for batch and streaming pipelines Optimize test processes for performance, scalability, and accuracy Integrate testing workflows into CI/CD pipelines Ensure compliance with data governance and quality standards Keywords ETL Testing, Data Validation, Data Pipelines, Big Data Testing, Databricks, PySpark, Scala, Python, SQL, NoSQL, Snowflake, Data Lakes, Data Warehousing, Apache Flink, CI/CD, Jenkins, GitLab, Docker, Kubernetes, AWS, Linux, Shell Scripting, Data Modeling Project Details Domain: Data Engineering / Big Data Focus: Testing and validation of enterprise-scale data pipelines and data platforms Environment: Cloud-based (AWS), distributed data systems, and modern data stack Tools & Technologies: Databricks, Snowflake, PySpark/Scala, Apache Flink, Python, CI/CD tools, containerized environments Scope: Build and lead end-to-end testing frameworks ensuring high data quality, consistency, and reliability across batch and streaming systems Location : Bengaluru Project Details Domain: Data Engineering / Big Data Focus: Testing and validation of enterprise-scale data pipelines and data platforms Workplace: Cloud-based (AWS), distributed data systems, and modern data stack Tools & Technologies: Databricks, Snowflake, PySpark/Scala, Apache Flink, Python, CI/CD tools, containerized environments Scope: Build and lead end-to-end testing frameworks ensuring high data quality, consistency, and reliability across batch and streaming systems

📌 Etl Test Engineer (Bengaluru)
🏢 Orcapod Consulting Services
📍 Bengaluru