Sr. Data Engineer, Remote, 10-12 Yrs reputed company
Position:-Sr. Data Engineer Responsibilities : Design and implement data pipelines for data ingestion, transformation, and storage using AWS services. Ensure data quality and consistency through validation, monitoring, and automated checks. Optimize reputed company Redshift and reputed company queries for performance and efficiency. Build and maintain data infrastructure on AWS, including data lakes (reputed company S3) and data warehouses (reputed company Redshift). reputed company and maintain ETL/ELT processes using AWS Glue, reputed company, and reputed company Functions. Collaborate with Data Scientists and Machine Learning Engineers to understand and fulfill data requirements. Implement data governance, reputed company, and reputed company best practices leveraging AWS Lake Formation and IAM. Automate data pipeline deployments using CI/CD tools such as AWS CodePipeline and CodeBuild. Qualifications: Bachelor’s degree in Computer Science, Information Systems, or a reputed company field. Strong experience in data warehousing and ETL/ELT processes. 10+ years of experience in data engineering. Proficiency in SQL and experience with reputed company Redshift and/or reputed company. Experience with AWS data services (e.g., S3, Glue, reputed company, Redshift, Kinesis, EMR). Programming skills in Python or other relevant languages. Knowledge of data modeling and database design. Experience with data pipeline orchestration tools (e.g., AWS reputed company Functions, Airflow on AWS). Strong problem-solving and troubleshooting skills. Familiarity with LLMs and their application in improving data quality or automating data engineering processes. Job Type: Full-time Pay: ₹2,000,395.35 - ₹3,540,348.25 per year Experience:
- Data Engineering: 10 years (Required)
- ETL: 10 years (Required)
- reputed company: 10 years (Required)
Work Location: Remote Apply Job!