Datazymes

Data platforms for integrating pharma data

AWS Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Three to eight years of experience.
A Bachelor's or Master's degree in Computer Science, Computer Engineering, or Information Technology.
Experience with AWS cloud and services including S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues.
Experience with batch job scheduling and identifying data and job dependencies.

Responsibilities

Design and implement data pipelines using AWS services such as S3, Glue, PySpark, and EMR.
Develop and maintain data processing and transformation scripts using Python and SQL.
Optimize data storage and retrieval using AWS database services such as RDS, Redshift, and DynamoDB.
Build data warehousing layers based on specific use cases.
Use SQL expertise and apply ETL and data modeling knowledge.
Ensure data accuracy and availability for customers and understand how technical decisions can affect business analytics and reporting.

Desired Qualifications

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

Job Description

Design and implement data pipelines using AWS services such as S3, Glue, PySpark and EMR.
Develop and maintain data processing and transformation scripts using Python and SQL.
Optimize data storage and retrieval using AWS database services such as RDS, Redshift and DynamoDB.
Build different types of data warehousing layers based on specific use cases.
Utilize expertise in SQL and have a strong understanding of ETL and data modeling.
Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business’s analytics and reporting.

Qualifications

3-8 Years of experience
Preference for immediate joiners and candiates who can join us within 30 days
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or Information Technology
Experience with AWS cloud and AWS services such as S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues.
Experience with batch job scheduling and identifying data/job dependencies.

Preferred Skills:

Proficiency in data warehousing, ETL, and big data processing.
Familiarity with the Pharma domain is a plus.

Additional Information

About the Company

Datazymes

Data platforms for integrating pharma data

Datazymes builds data-driven platforms and applications for the pharmaceutical industry, integrating, managing, and securing data. It adds interactive analytics apps that enable machine-driven, human-assisted analysis without requiring advanced querying or coding. Its approach combines a flexible, pharma-focused data platform with ready-to-use analytics apps, avoiding rigid software or long consulting cycles. The goal is to help pharma teams turn data into actionable insights quickly and easily through accessible tools.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Philadelphia, PA
Founded: 2016

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