Sr. Executive (Data Engineering)

· Develops and optimizes batch and streaming data pipelines to ensure timely and reliable data delivery for business analytics.· Architects end-to-end ETL/ELT workflows using modern integration tools to streamline data ingestion from diverse sources.· Manages the Hadoop ecosystem (Spark, Hive, HDFS) to maintain high-performance big data processing capabilities.· Designs Medallion architecture layers (Bronze, Silver, Gold) to ensure structured data progression and high-quality consumption.· Implements advanced data modeling (Star, Snowflake, and SCD patterns) to provide scalable and efficient data structures for reporting.· Monitors data quality, observability, and governance protocols to safeguard data integrity across the organization.· Supports machine learning workflows by building feature pipelines and MLOps frameworks to accelerate AI model deployment.· Collaborates with cloud infrastructure teams to refine system performance and cost efficiency while ensuring environment scalability.Automates deployments using Git, CI/CD, and containerized environments to maintain seamless and error-free code releasesSkillsYears of experience:1-2 years of ExperienceEducational Background:Bachelor’s degree in Computer Science, Information Technology, or a related field.