ETL Lead

ACL Digital is hiring for ETL Test Lead (AWS & Python) Location: Bangalore, India (Hybrid/Onsite) Experience: 8+ Years Are you a data quality champion who thrives at the intersection of Cloud, Code, and Big Data We are looking for a Lead ETL QA Engineer to spearhead our data validation strategy and ensure the absolute reliability of our enterprise-scale AWS data pipelines. If you have a sharp eye for data anomalies, speak fluent Python , and know how to break (and fix) complex cloud-based ETL workflows, we want you on our team! Key Responsibilities: QA Strategy & Leadership: Define, design, and implement comprehensive end-to-end testing strategies for data warehouses and data migration initiatives. Framework Development: Build and maintain automated data validation frameworks using Python (and PySpark) to check data quality at scale. Cloud Data Validation: Validate complex data ingestion, transformation, and aggregation logic flowing through AWS services (Glue, EMR, S3, Lambda, Redshift). Deep-Dive Analysis: Write complex SQL scripts to perform extensive source-to-target data reconciliation, mapping validation, and regression testing. Team Mentorship: Lead, mentor, and guide a high-performing team of QA engineers, establishing modern testing best practices in an Agile environment. What We Are Looking For: Experience: 8+ years of core software testing experience, with at least 23 years in a technical Lead capacity. Data Expertise: Deep understanding of ETL/ELT architectures, data warehousing principles, and data lake frameworks. Tech Stack Mastery: Strong scripting skills in Python and advanced proficiency in SQL . AWS Capabilities: Hands-on experience working with and validating data inside the AWS ecosystem. ACL Digital is hiring for ETL Test Lead (AWS & Python) Location: Bangalore, India (Hybrid/Onsite) Experience: 8+ Years Are you a data quality champion who thrives at the intersection of Cloud, Code, and Big Data We are looking for a Lead ETL QA Engineer to spearhead our data validation strategy and ensure the absolute reliability of our enterprise-scale AWS data pipelines. If you have a sharp eye for data anomalies, speak fluent Python , and know how to break (and fix) complex cloud-based ETL workflows, we want you on our team! Key Responsibilities: QA Strategy & Leadership: Define, design, and implement comprehensive end-to-end testing strategies for data warehouses and data migration initiatives. Framework Development: Build and maintain automated data validation frameworks using Python (and PySpark) to check data quality at scale. Cloud Data Validation: Validate complex data ingestion, transformation, and aggregation logic flowing through AWS services (Glue, EMR, S3, Lambda, Redshift). Deep-Dive Analysis: Write complex SQL scripts to perform extensive source-to-target data reconciliation, mapping validation, and regression testing. Team Mentorship: Lead, mentor, and guide a high-performing team of QA engineers, establishing modern testing best practices in an Agile environment. What We Are Looking For: Experience: 8+ years of core software testing experience, with at least 23 years in a technical Lead capacity. Data Expertise: Deep understanding of ETL/ELT architectures, data warehousing principles, and data lake frameworks. Tech Stack Mastery: Strong scripting skills in Python and advanced proficiency in SQL . AWS Capabilities: Hands-on experience working with and validating data inside the AWS ecosystem.