AWS Data Engineer
2 weeks ago
Job Title: AWS Data Engineer
Location:
Bangalore (Hybrid)
Experience:
3–5 years
About Us
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
.
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