Freelance Opportunity Senior Data Engineer
NewBe an early applicantSummary
Freelance Senior Data Engineer in Mumbai designing and building scalable AWS-based data pipelines and ETL workflows using Glue, PySpark, Snowflake, Terraform, PostgreSQL, EKS and DynamoDB, while supporting analytics and BI (Power BI/Tableau) and ensuring data quality end to end.
We are looking for an experienced
Senior Data Engineer
with strong expertise in
AWS, data engineering, ETL, and cloud data platforms
to join our team on a freelance basis.
Job Overview
Must-Have Skills AWS Glue PostgreSQL Terraform Python / PySpark Amazon EKS Amazon DynamoDB AWS AI Services Snowflake ETL & Data Warehousing
️ Key Responsibilities Design and develop scalable data pipelines using AWS and other cloud platforms. Build and optimize ETL processes and data workflows. Develop high-quality datasets for analytics and business intelligence. Work with Snowflake and big data technologies for efficient data storage and retrieval. Collaborate with data scientists and analysts on data requirements. Ensure data quality, integrity, and reliability throughout the data lifecycle. Support data visualization initiatives using Power BI and Tableau. Document data architectures, processes, and workflows. Stay current with emerging data engineering and cloud technologies.
⭐ Preferred Skills Azure and GCP experience Machine Learning concepts/frameworks Informatica Scala Agile methodologies Strong analytical and communication skills
Qualification:
Bachelor's degree in Computer Science, IT, or a related field. If you have strong
AWS Data Engineering experience
and are interested in a
freelance opportunity , we'd love to hear from you!
Apply now / Share your profile #Hiring #Freelance #SeniorDataEngineer #DataEngineer #AWS #AWSGlue #Python #PySpark #Snowflake #Terraform #PostgreSQL #EKS #DynamoDB #DataEngineering #CloudComputing #ContractJobs #TechJobs
Senior Data Engineer
with strong expertise in
AWS, data engineering, ETL, and cloud data platforms
to join our team on a freelance basis.
Job Overview
Must-Have Skills AWS Glue PostgreSQL Terraform Python / PySpark Amazon EKS Amazon DynamoDB AWS AI Services Snowflake ETL & Data Warehousing
️ Key Responsibilities Design and develop scalable data pipelines using AWS and other cloud platforms. Build and optimize ETL processes and data workflows. Develop high-quality datasets for analytics and business intelligence. Work with Snowflake and big data technologies for efficient data storage and retrieval. Collaborate with data scientists and analysts on data requirements. Ensure data quality, integrity, and reliability throughout the data lifecycle. Support data visualization initiatives using Power BI and Tableau. Document data architectures, processes, and workflows. Stay current with emerging data engineering and cloud technologies.
⭐ Preferred Skills Azure and GCP experience Machine Learning concepts/frameworks Informatica Scala Agile methodologies Strong analytical and communication skills
Qualification:
Bachelor's degree in Computer Science, IT, or a related field. If you have strong
AWS Data Engineering experience
and are interested in a
freelance opportunity , we'd love to hear from you!
Apply now / Share your profile #Hiring #Freelance #SeniorDataEngineer #DataEngineer #AWS #AWSGlue #Python #PySpark #Snowflake #Terraform #PostgreSQL #EKS #DynamoDB #DataEngineering #CloudComputing #ContractJobs #TechJobs