Big Data Architect (MapR, Hadoop)

Teamware Solutions

6 - 8 years

5 - 7 Lacs

Mumbai Maharashtra India

Posted:1 day ago| Platform: Foundit logo

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Skills Required

AWS EMR Azure HDInsight

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

Design, architect, and implement
end-to-end big data solutions
using
MapR
,
Apache Hadoop
, and associated ecosystem tools (e.g., Hive, HBase, Spark, Kafka).
Lead data platform modernization efforts including architecture reviews, platform upgrades, and migrations.
Collaborate with data engineers, data scientists, and application teams to gather requirements and build scalable, secure data pipelines.
Define data governance, security, and access control strategies in the MapR ecosystem.
Optimize performance of distributed systems, including storage and compute workloads.
Guide teams on best practices in big data development, deployment, and maintenance.
Conduct code reviews and architecture assessments.
Provide mentorship to junior engineers and technical leadership across big data initiatives.

Qualifications and Requirements:

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
6+ years of experience in data architecture, with at least 3 years working specifically on
MapR
and
Hadoop
ecosystems.
Expertise in
MapR-DB
,
MapR Streams
, and
MapR-FS
.
Proficiency with big data tools:
Apache Spark
,
Kafka
,
Hive
,
HBase
,
Oozie
,
Sqoop
,
Flume
.
Strong programming skills in
Java
,
Scala
, or
Python
.
Solid understanding of
distributed systems
,
high availability
, and
cluster management
.
Experience with data ingestion, transformation, and ETL pipelines.
Familiarity with security controls (Kerberos, Ranger, Knox, etc.) and data governance.
Experience with CI/CD, Docker, Kubernetes is a plus.

Desirable Skills and Certifications:

Certifications such as:
Cloudera Certified Professional (CCP)
,
MapR Certified
, or
Hortonworks HDP Certification
Exposure to
cloud-based big data
platforms like
AWS EMR
,
Azure HDInsight
, or
GCP Dataproc
.
Experience with
NoSQL
and real-time data streaming architectures.
Ability to communicate architectural concepts to both technical and non-technical stakeholders.

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