Data Engineer-AIML(Telecom)-ETL
5 days ago
Role & responsibilities
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
Preferred candidate profile
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