Aws Data Engineer | 7 Years Minimum

LatentView

7 - 12 years

18 - 30 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

orchestration etl pipelines sql snowflake aws airflow pyspark aws glue leadership skills glue amazon redshift data pipeline redshift aws athena python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Experience:

Location:

Key Responsibilities

Design, develop, and maintain scalable
ETL pipelines
using
AWS Glue
and
PySpark
.
Lead the
data engineering team
, ensuring best practices in coding, testing, and deployment.
Implement
workflow orchestration
solutions for complex data pipelines.
Optimize data pipelines and queries for
advanced SQL
performance.
Collaborate with data scientists, analysts, and stakeholders to deliver reliable data solutions.
Ensure data quality, governance, and security across systems.
Drive continuous improvements in ETL processes and architecture.

Requirements

7+ years of hands-on experience in
Data Engineering
.
Strong expertise in
AWS Glue
,
ETL development
, and
PySpark
.
Proficiency in
advanced SQL
for complex queries and performance tuning.
Solid experience in
orchestration tools
(e.g., Airflow, Step Functions, etc.).
Strong problem-solving and analytical skills.
Experience leading a data engineering team or mentoring junior engineers.

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