Hadoop Developer (4-10 YEARS)

Infosys

5 - 10 years

9 - 11 Lacs

hyderabad pune bengaluru

Posted:Just now| Platform:

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Skills Required

hadoop big data hive spark hdfs hbase

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hadoop Developer

distributed computing

Key Responsibilities:

Design and implement
data processing pipelines
using Hadoop ecosystem tools (HDFS, MapReduce, Hive, Pig).
Develop and optimize
ETL workflows
for large-scale data ingestion and transformation.
Work with
Spark
,
Hive
, and
HBase
for advanced analytics and storage.
Collaborate with
data engineers
,
data scientists
, and
business teams
to deliver big data solutions.
Ensure
data quality
,
security
, and compliance standards.
Perform
performance tuning
and
job optimization
for Hadoop applications.
Integrate Hadoop with
data lakes
,
streaming platforms
(Kafka), and
cloud services
.

Required Skills:

Strong proficiency in
Hadoop ecosystem
(HDFS, MapReduce, Hive, Pig).
Hands-on experience with
Apache Spark
and
Scala/Python
.
Knowledge of
HBase
,
Oozie
, and
Sqoop
.
Familiarity with
data lake architectures
,
HDFS
, and
YARN
.
Proficiency in
SQL
and
data modeling
.
Experience with
CI/CD pipelines
,
Git
, and
cloud platforms
(AWS EMR, Azure HDInsight, GCP Dataproc).

Preferred Skills:

Experience with
Databricks
and
Delta Lake
.
Knowledge of
Kafka
,
Airflow
, or other orchestration tools.
Exposure to
containerization
(Docker, Kubernetes).

LOCATION: PAN INDIA

EXPERIENCE: 4-10 YEARS

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