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BigData and Hadoop Ecosystems Professional

BigData and Hadoop Ecosystems Professional

Diverse Lynx

3 - 8 years

5 - 10 Lacs

mumbai pune chennai

Posted:None| Platform:

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Skills Required

computer science git data security data processing apache big data information technology yarn analytics sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hiring for BigData and Hadoop Ecosystems - Chennai/Pune/MumbaiJob Summary:

We are seeking a skilled

Big Data Engineer

with strong expertise in

Hadoop ecosystems

to design, develop, and maintain big data solutions. The ideal candidate will work closely with data scientists, analysts, and business stakeholders to deliver scalable data pipelines and efficient data processing frameworks.

Key Responsibilities:

Design and develop scalable big data solutions using Hadoop ecosystem tools.
Build and maintain robust data pipelines for batch and real-time processing.
Work with large datasets to extract meaningful insights and support analytics use cases.
Optimize data storage and processing architectures for performance and cost-efficiency.
Collaborate with cross-functional teams including data scientists, analysts, and DevOps.
Ensure data security, privacy, and governance in data solutions.
Perform data cleansing, transformation, and validation.
Monitor and troubleshoot production big data environments.

Required Skills and Experience:

3+ years
of hands-on experience in Big Data technologies.
Proficient in
Hadoop ecosystem
tools such as:
- HDFS, MapReduce, YARN
- Hive, Pig
- HBase
- Sqoop, Flume
- Apache Spark
- Oozie, Kafka, NiFi
  (a plus)
Strong programming skills in
Java, Scala, or Python
.
Experience with data pipeline tools like
Apache Airflow
or
Oozie
.
Familiarity with cloud platforms (e.g., AWS EMR, Azure HDInsight, GCP Dataproc).
Working knowledge of
SQL
and
NoSQL
databases.
Knowledge of
data modeling
,
data warehousing
, and
ETL frameworks
.
Experience with CI/CD pipelines and version control (e.g., Git).

Preferred Qualifications:

Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
Experience with containerization (e.g., Docker, Kubernetes).
Certifications in Big Data technologies or cloud platforms (e.g., Cloudera, AWS Big Data Specialty).
Knowledge of data governance and security frameworks.

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