AWS Engineer

6 days ago

Bengaluru, Karnataka, India DataZymes Full time US$ 90,000 - US$ 1,20,000 per year

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:
Bangalore

QUALIFICATION REQUIRED:
Bachelor's or master's degree in computer science, Information Technology; Experience with batch job scheduling and identifying data/job dependencies.

EXPERIENCE REQUIRED:
4-8 years hands on experience

EMPLOYMENT TYPE:
Full-Time

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.

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