AWS Data Engineer
2 days ago
Job Title:
AWS Data Engineer
Experience Required:
5–7 Years
Location:
Pune, India
Shift Timings:
UK Shift
(1 PM – 10 PM IST)
Duration: 6 to 12 months (Contract)
Pay:
180,000 Per month
Interview Process:
3 Rounds (Technical + Live Hands-on)
Job Description:
We are looking for a skilled and experienced
AWS Data Engineer
with 5–7 years of hands-on experience in designing, developing, and maintaining robust data pipelines and integrations on AWS. The ideal candidate will have strong expertise in
SQL, Spark, Python
, and a deep understanding of
AWS data services
such as
Glue, Athena, and Redshift
.
Key Responsibilities:
- Design, build, and maintain scalable and efficient
data pipelines
on AWS. - Integrate diverse data sources using
AWS Glue
,
Athena
,
Redshift
, and other AWS services. - Perform
data analysis
, data validation, and ensure data quality and integrity across pipelines. - Implement
automated and functional testing
of data workflows and transformations. - Monitor, troubleshoot, and
debug data pipeline issues
, ensuring high performance and reliability. - Optimize data processing jobs for
performance and scalability
. - Collaborate with stakeholders to understand data requirements and deliver solutions aligned with business needs.
- Contribute to the development of
Lake House architecture
and best practices.
Required Skills:
- Strong proficiency in
SQL
,
Apache Spark
, and
Python
. - Hands-on experience with
AWS Glue, Athena, and Redshift
. - Proven experience in building and managing
ETL/ELT pipelines
. - Experience with
data profiling, quality checks, and testing automation
. - Strong understanding of
performance tuning
techniques for large-scale data systems. - Familiarity with
Lake House architecture
and related data modeling principles.
Note: Only candidates with 5 to 7 years of relevant work experience and work from 1 PM to 10 PM in the location mentioned above (Pune), should apply.
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