AWS Engineer

ABOUT US:

Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments. Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Business Intelligence and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap.

Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving non-linear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.

JOB LOCATION:

QUALIFICATION REQUIRED:

EXPERIENCE REQUIRED:

EMPLOYMENT TYPE:

Responsibilities:

• Design and implement scalable data pipelines using AWS services such as

  S3, Glue, PySpark, and EMR

  .
• Develop and maintain robust data transformation scripts using

  Python and SQL

  .
• Optimize data storage and retrieval using AWS database services like

  Redshift, RDS, and DynamoDB

  .
• Build and manage

  data warehousing layers

  tailored to specific business use cases.
• Apply strong

  ETL and data modeling

  skills to ensure efficient data flow and structure.
• Ensure high data quality, availability, and consistency to support

  analytics and reporting

  needs.
• Work closely with data analysts and business stakeholders to understand data requirements and deliver actionable insights.

Required Qualifications:

• Bachelor’s or Master’s degree in

  Computer Science, Information Technology

  , or a related field.
• Hands-on experience with

  AWS data services

  such as S3, Glue Studio, Redshift, Athena, and EMR.
• Strong proficiency in

  SQL

  and

  Python

  for data processing.
• Experience with

  batch job scheduling

  and managing data dependencies.

Preferred Skills:

• Expertise in

  data warehousing, ETL frameworks

  , and

  big data processing

  .
• Familiarity with

  the pharmaceutical domain

  is a plus.
• Experience with

  data lake architecture

  and

  schema evolution

  .

Note:

• This role is

  not DevOps-focused

  . Candidates with a background primarily in

  infrastructure automation, CI/CD pipelines, or system administration

  will not be a fit unless they have

  significant experience in data engineering and AWS data services

  .

COMPETENCIES

• Proficiency in data warehousing, ETL, and big data processing.
• Familiarity with the

  Pharma domain

  is a plus.