Role: AWS Data Engineer
Work Location: Remote or Onsite or hybrid to Alameda CA
Client: Confidential
Duration: C2C or Contract to hire or FTE
Salary: As per market standard
Experience: 10 to max 20
Mandatory - need summary on pharma and commercial exp
Educational Qualification*
BE / MCA / Any Master degree in Computer Science
Primary (Must have skills)*
Experience: Minimum of 8 years of experience in data engineering with a focus on AWS data services.
Skills: Proficiency in AWS services (Glue, Redshift, S3, Lambda, MWAA, etc.), SQL, Python, and ETL tools.
Proficiency in virtualizations like the EC2, EKS, ECS, ECR, Fargate
Certifications: AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect preferred.
Communication: Excellent communication skills, with the ability to work collaboratively in a team environment.
Life Science Pharma & Commercial Operations Domain Knowledge is must
Expierence Range
8-12 Years
Secondary Skills (Good To have)*
Advanced Skills: Experience with big data technologies such as Hadoop, Spark, or Kafka.
Problem-Solving: Strong analytical and problem-solving skills.
Adaptability: Ability to adapt to new technologies and methodologies quickly.
Leadership: Proven experience in leading data engineering projects and mentoring junior
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