Job Description: Complete data ingestion, data pipeline, data lineage , data quality , data wearhouse, data governance and data reconciliation.
Essential Skills: Must have Data architect experience and knowledge. Data Architect with over 10 +years of hands-on experience in designing, developing, and managing large-scale data solutions. Proven expertise in building and optimizing ETL pipelines. Strong in data preprocessing, and enhancing data quality.Extracting events, processing large datasets (5 billion+ records) within (a Spark-Hadoop) cluster. Automated data processing tasks for DAAS (Data as a Service) project, streamlining workflow efficiency. Configured file and client setups, ensuring smooth data integration and delivery. Managed end-to-end data processing pipelines, enhancing data quality and reducing processing time.

Keyskills: Artificial Intelligence AI Machine Learning Ml
Tekskills India is an ISO 9001 certified, CMMI Level 3 company with a global presence across the US, UK, and India. In India, our offices are located in Hyderabad, Bangalore, Kolkata, Chennai, and Pune. We specialize in business and technology services, supporting digital tran...