Job Description

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. ________________________________________ 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. ________________________________________ 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 BE/BTech Range Of Year Experience-Min Year 4 Range Of Year Experience-Max Year 8