Senior AWS Big Data Engineer

Candidate must be local to either Malvern, PA or Charlotte ,NC. we need local candidate These positions are hybrid with 3 days onsite in a week , Malvern, PA | 6+ yearsof experience Job DescriptionMust Have Technical/Functional SkillsPython, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)Roles & Responsibilities Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python. Develop and optimize data transformation workflows to proce

Job Title: Data EngineerLocation: Malvern, PA (Hybrid)Employment Type: ContractVisa: GC-EAD, -EAD, TN Visa Job SummaryWe are seeking an experienced Data Engineer with expertise in Python, AWS Glue, ETL development, and Attunity. The ideal candidate will build and maintain scalable data pipelines, optimize ETL processes, and support enterprise data integration initiatives. Required Skills7+ years of Data Engineering experiencePythonAWS GlueETL DevelopmentAttunity (Qlik Replicate)SQLData Warehousi

job summary: Responsibilities Building and maintaining ETL pipelines, Data Analysis, Reimaging Technical Architecture for Analytics Qualifications Python, SQL, AWS Services location: Malvern, Pennsylvania job type: Solutions salary: $48.46 - 54.46 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Responsibilities Building and maintaining ETL pipelines, Data Analysis, Reimaging Technical Architecture for Analytics qualifications: Qualifications Python, SQL, AWS Ser

Experience: 510 YearsEmployment Type: Full-Time This second requirement is much more specifically centered around Databricks + AWS Glue + PySpark + Python + SQL + MongoDB, so the knockout questions should be stricter around those technologies. About the RoleWe are looking for an experienced Data Pipeline Engineer with strong hands-on expertise in Databricks, AWS Glue, PySpark, Python, SQL, and MongoDB. The engineer will design, develop, and optimize scalable cloud-based ETL and data pipelines fo