Etl Developer

Decision Point

3 - 8 years

12 - 22 Lacs

chennai

Posted:1 day ago| Platform:

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Skills Required

pyspark aws python sql s3 glue azure cloud lamda data bricks

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

Design, develop, and optimize scalable and reliable ETL pipelines using
Python and PySpark
.
Extract data from diverse data sources and transform it to meet analytical and business needs.
Implement robust data validation, error handling, and quality checks within ETL pipelines.
Work with
large-scale datasets
and ensure efficient performance and scalability.
Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver end-to-end data solutions.
Deploy and monitor ETL processes on
AWS
cloud services such as
S3, Glue, Lambda, EMR, Redshift, Step Functions
, etc.
Ensure compliance with data governance and security standards.
Troubleshoot and resolve performance bottlenecks and data quality issues.

Mandatory Qualifications:

4+ years
of professional experience in
ETL development
.
Strong programming skills in
Python
and experience with
PySpark
for distributed data processing.
Proficient in
SQL
and working with relational and non-relational databases.
Hands-on experience with
AWS cloud services
related to data engineering (e.g.,
S3, Glue, EMR, Lambda, Redshift
).
Experience in designing and implementing ETL workflows in a production environment.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.

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