Posted:-1 days ago|
Platform:
Hybrid
Full Time
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
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