Job Title: ETL Data Engineer (Ab Initio / PySpark / AWS Glue)Experience
Job Summary
We are seeking an experienced ETL Data Engineer with robust expertise in designing, developing, and supporting large-scale data integration and ETL solutions. The ideal candidate should have hands-on experience with Ab Initio and modern cloud-based ETL technologies such as PySpark and AWS Glue. The role involves building scalable data pipelines, modernizing legacy ETL processes, and supporting cloud migration initiatives.
Key Responsibilities
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Design, develop, enhance, and maintain large-scale ETL processes and data pipelines.
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Develop ETL solutions using Ab Initio and cloud-native technologies such as PySpark and AWS Glue.
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Analyze business requirements, troubleshoot data issues, and recommend effective technical solutions.
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Support the modernization of legacy ETL applications and migration to cloud-based data platforms.
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Design, develop, test, deploy, and support ETL/data pipeline components across development and production environments.
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Optimize ETL workflows for performance, scalability,
reliability, and maintainability.
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Collaborate with business analysts, architects, and cross-functional teams to deliver high-quality data solutions.
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Ensure data quality, integrity, and adherence to enterprise data governance standards.
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Participate in code reviews, testing, deployment, and production support activities.
Required Skills
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5+ years of experience in ETL and data engineering.
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Strong hands-on experience with Ab Initio ETL development.
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Experience with cloud ETL technologies such as PySpark and AWS Glue.
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Strong SQL skills and experience working with relational databases.
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Experience designing and developing scalable ETL/data pipelines.
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Knowledge of cloud data platforms and modern data engineering practices.
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Strong analytical and problem-solving skills.
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Excellent communication and collaboration abilities.
Preferred Skills
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Experience with
📌 Data Engineering and ETL Delivery (Bengaluru)
🏢 Zorba Consulting India
📍 Bengaluru
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