Senior Data Engineer (PySpark, Databricks & AWS)

Zensar

7 - 12 years

20 - 32 Lacs

pune

Posted:3 weeks ago| Platform:

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Skills Required

pyspark aws data bricks

Work Mode

Hybrid

Job Type

Full Time

Job Description

Preferred candidate profile

7+ years
in data engineering with strong hands-on
PySpark
and
Databricks
(jobs, notebooks, clusters, Delta Lake).
Proven experience building and operating data pipelines on
AWS
(S3, Glue/EMR, Lambda, Athena, Redshift, Kinesis/MSK).
Solid understanding of
Spark internals
(RDD/DataFrame APIs, Catalyst, Tungsten), file formats (
Parquet
,
ORC
,
Avro
), and
streaming
(Structured Streaming).
Strong
SQL
, data modeling (dimensional/lakehouse), and performance tuning skills.
Experience with
workflow orchestration
(Airflow/Databricks Workflows) and
CI/CD
for data projects.
Proficiency in
Git
and collaborative development in a notebook + repo workflow.
Knowledge of
security
best practices on AWS (IAM, networking, encryption) and
data governance
(Unity Catalog/Lake Formation).
Excellent problem-solving, communication, and stakeholder management.

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