Senior Data Engineer

Infiniti Research

6 - 10 years

25 - 30 Lacs

bengaluru

Posted:1 month ago| Platform:

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Skills Required

airflow pyspark aws amazon redshift

Work Mode

Hybrid

Job Type

Full Time

Job Description

Senior AWS Data Engineer (PySpark & Airflow)

Location:

About the Role

AWS Data Engineer

Key Responsibilities

Design, develop, and maintain
ETL/ELT data pipelines
using
PySpark
on AWS.
Implement and manage workflow orchestration with
Airflow
.
Work with
AWS-native services
for data storage, processing, and transformation.
Build and optimize
data warehousing solutions
to support analytics and reporting.
Ensure
data quality, reliability, and scalability
across all pipelines.
Collaborate with stakeholders to implement
medallion architecture
(bronze, silver, gold layers).
Monitor and troubleshoot production workloads for performance and stability.

Required Skills

6+ years of experience
in data engineering roles.
Strong hands-on expertise in
PySpark
and distributed data processing.
Proficiency with
Airflow
for orchestration.
Solid experience with
AWS cloud services
for data engineering.
Strong knowledge of
data warehousing concepts
and implementation.

Good to Have

Experience with
Informatica
.
Familiarity with
medallion architecture
for data lakehouse design.

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