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AWS Data Engineer at DataZymes | Bengaluru

DataZymesBengaluru
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

3-8 years of relevant experience in data engineering. Preference for candidates available to join immediately or within 30 days. A Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or Information Technology. Hands-on experience with AWS cloud services, including S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS. Familiarity with job scheduling and managing data/job dependencies. Preferred Skills:Expertise in data warehousing, ETL, and large-scale data processing. Knowledge of the Pharma sector is advantageous.

About the job

  • Engineer and construct robust data pipelines utilizing AWS technologies including S3, Glue, PySpark, and EMR.
  • Create and manage data processing scripts through Python and SQL.
  • Enhance data storage and access efficiency using AWS database solutions such as RDS, Redshift, and DynamoDB.
  • Establish diverse data warehousing structures tailored to distinct use cases.
  • Apply your SQL proficiency and strong grasp of ETL processes and data modeling.
  • Guarantee data accuracy and accessibility for clients, recognizing the implications of technical choices on business analytics and reporting.

About DataZymes

At DataZymes Analytics, we are pioneering data analytics solutions for Life Sciences clients, empowering businesses to harness their data's full potential. Our mission is to transform data into actionable insights, allowing our clients to make data-driven decisions and maintain a competitive advantage in a rapidly evolving market. With a highly skilled team of data scientists, analysts, and engineers, we deliver tailored solutions that meet the unique demands of each client. Our innovative products and accelerators assist Pharma clients on their journey from Data to Insights. We pride ourselves on our commitment to precision, efficiency, and innovation, having established a high-performance team that collaborates with leading names in the US healthcare sector.

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