DataZymes is a data-driven company committed to empowering organizations with actionable insights through advanced analytics and business intelligence solutions. Join our growing team that values
innovation, collaboration, and excellence
.
Key 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.
Collaborate with
data analysts and business stakeholders
to understand requirements and deliver actionable insights.
Required Qualifications
Bachelor's or Master's degree in
Computer Science, Information Technology, or 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 is
not a DevOps-focused role
. Candidates with backgrounds 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
.
Job Types: Full-time, Permanent
Pay: ₹559,653.93 - ₹1,942,351.24 per year
Application Question(s):
What is your notice period in days?
Experience:
AWS data services such as S3, Glue Studio, Redshift, Athena: 3 years (Required)
Work Location: In person
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