AWS Data Engineer
At a glance
Mid-level Data Engineering role at Datazymes. Bengaluru · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data pipelines with AWS services such as S3, Glue, PySpark and EMR
- Write Python and SQL scripts to process and transform data
- Tune storage and retrieval across AWS databases, including RDS, Redshift and DynamoDB
- Create data warehouse layers for different use cases and keep customer data accurate and available
- Assess how engineering choices affect customers’ analytics and reporting
What you bring
- Three to eight years of relevant experience and a bachelor’s or master’s degree in a listed computing field
- Hands-on AWS experience, including services such as S3, Glue Studio, Redshift and Athena
- Strong SQL skills and a solid grasp of ETL and data modeling
- Experience scheduling batch jobs and tracing dependencies between data jobs
Who this fits
This mid-level role suits someone focused on AWS data engineering, warehousing and batch processing. The position is onsite in Bengaluru; candidates able to start immediately or within thirty days are preferred.
From the employer
DataZymes Analytics is a cutting-edge and innovative data analytics company working with Life Sciences clients that empowers businesses and organizations to unlock the true potential of their data. Our mission is to harness the power of data and transform it into actionable insights, enabling our clients to make informed decisions and gain a competitive edge in today's data-driven world.
With a team of highly skilled data scientists, analysts, and engineers, DataZymes Analytics is committed to delivering top-notch solutions tailored to the unique needs of each client. Aided by our suite of cutting-edge products and accelerators, we are helping our Pharma clients on their Data to Insights journey. 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.
What sets us apart is our dedication to accuracy, efficiency, and innovation. We utilize the latest technologies and industry best practices to ensure the highest quality of work and the fastest turnaround times. Moreover, our agile approach allows us to adapt quickly to changing requirements and deliver exceptional results within the most demanding timelines.
- 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.
- 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.
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