Job Description

Key Responsibilities

Design, build, and optimize scalable ETL pipelines for large-scale data processing. Work on data aggregation, transformation, and cleaning for downstream analytics and AI/ML workloads. Implement data reporting and dashboarding solutions to support business insights. Collaborate with cross-functional teams including AI/ML engineers, solution architects, and business stakeholders to deliver

end-to-end data solutions.

Ensure high data quality, reliability, and performance across platforms.

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Required Skills

Ab Initio - hands-on experience in data processing and pipeline development. VortexAI - exposure to AI/ML-driven data solutions or automation frameworks. SuperPlex Dashboarding - ability to build dashboards for reporting and insights. ETL Development - strong knowledge of ETL pipelines and workflow orchestration. Data Aggregation & Cleaning - proven expertise in preparing and optimizing datasets. Data Reporting & Dashboarding - experience with visualization tools and reporting frameworks. Strong SQL and database skills (RDBMS, NoSQL preferred). Programming experience in Python/Scala/Java for data processing. Familiarity with Cloud platforms (AWS/Azure/GCP) for data engineering preferred.

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Good to Have

Experience working with big data frameworks (Spark, Hadoop). Exposure to CI/CD practices and data pipeline automation. Knowledge of data governance, security, and compliance standards.

Qualifications

Range of Year Experience-Min Year

Range of Year Experience-Max Year