Data Engineer

Job Description:
We are looking for a skilled Data Engineer (AWS) to design and implement scalable data solutions on AWS. The ideal candidate should have experience in data analytics, ETL pipelines, and cloud technologies to build efficient and secure data infrastructure.

Responsibilities:
Design, build, and maintain scalable data pipelines on AWS (Amazon S3, Glue, EMR)
Develop and optimize ETL processes for data ingestion and transformation
Collaborate with data scientists and analysts for data modeling and analytics solutions
Ensure data quality, integrity, and security (GDPR, HIPAA compliance)
Optimize data infrastructure performance and cost-effectiveness
Stay updated with the latest AWS technologies and industry trends

Must-Have Skills:
Proven 3+ years of experience as a Data Engineer (AWS)
Strong hands-on experience with AWS services (Redshift, EMR, Kinesis, Glue, S3)
Expertise in ETL processes, data modeling, and warehousing
Proficiency in Python & SQL for data manipulation and transformation
Strong understanding of data governance & compliance standards
Experience in Agile methodologies & version control systems

Good-to-Have Skills:
Knowledge of Microsoft Azure is a plus
AWS Certification (Solution Architect Associate / Data Engineer) is a plus
Experience with data security best practices

Education:
Bachelor’s or Associate degree in IT or related field