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.
