Data Engineer (AWS & Google Cloud Platform)

Key Responsibilities: Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS. Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.). Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture. Col

Role: Lead AWS Data Engineer Location: Newark, NJ (Hybrid) Domain: Banking or Insurance Job Summary: We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions. Key Responsibilities

Hi, Position: AWS Data Engineer Location: Newark, New Jersey (Hybrid) Duration: 12 + Months Interview Mode: In-Person Work Authorization: USC/ (Cat09)/ H1B JD Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS. Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS. Develop and manage ETL/E

Job Title: Senior AWS Data Engineer Work Location: NYC,NY/Newark, New Jersey 07068 Long Term Contract If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion. Looking forward to hearing from you! Job Description: 7 plus years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.Extensive hands-on experience with AWS data services Glue, Redshift, S3, L