Bigdata Developer
LocationHyderabad, Telangana, India
Work modeon-site
Typefull-time
SeniorityMid
Experience4–6 yrs
DepartmentJonali
Company size1,001–5,000 people
PostedJun 10, 2026 · 4mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
4-6 years of experience
Hands-on experience with Hadoop ecosystem (HDFS, Hive, Spark, YARN)
Strong SQL and data analysis skills
Shell scripting (Bash) and/or Python scripting
Good knowledge of Kafka, Sqoop, Oozie, Flume, or NiFi
Hands-on experience with Linux/Unix administration
Experience with log analysis and monitoring tools
Knowledge of Cloudera CDP/CDH or Hortonworks platforms
Understanding of incident, problem, and change management processes
Excellent troubleshooting and communication skills
Experience with Kubernetes/OpenShift
Knowledge of Airflow, Data Engineering concepts, and ETL pipelines
Exposure to cloud platforms (AWS, Azure, GCP)
Banking or Financial Services domain experience
Git and CI/CD knowledge
Skills
Spark
Scala
Hive
Hadoop
SQL
Unix
HDFS
YARN
Kafka
Oozie
Sqoop
Flume
NiFi
Linux
Shell Scripting
Python
Cloudera
CDP
Kubernetes
OpenShift
Airflow
AWS
Azure
GCP
Git
CI/CD
About the role
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Big data production support Role :-
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Client - IBM/DBS
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Mode of work - 24/7 Rotational shift (WFO)
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Experience - 4-6 years
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Location - Hyderabad
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N.P - Immediate - 15days
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Required skills:- Spark, Scala, Hive, Hadoop, SQL, Unix
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Mode of interview F2F
Requirements
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Spark,
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Scala,
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Hive,
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Hadoop,
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SQL,
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Unix
Requirements
Job Summary
We are looking for a Big Data Support Engineer with hands-on experience in Hadoop ecosystem technologies to provide production support, monitoring, troubleshooting, and performance optimization of Big Data platforms. The candidate should possess strong analytical and problem-solving skills and be comfortable working in a support environment.
Key Responsibilities
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Provide L2/L3 support for Big Data applications and Hadoop clusters.
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Monitor platform health, analyze logs, and proactively identify issues.
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Troubleshoot production incidents and perform root cause analysis (RCA).
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Support Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, Kafka, Oozie, and Sqoop.
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Manage job failures, performance bottlenecks, and data pipeline issues.
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Work closely with development and infrastructure teams during deployments and releases.
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Perform cluster maintenance, upgrades, patching, and capacity planning.
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Create and maintain operational documentation, runbooks, and SOPs.
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Participate in on-call support and incident management activities.
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Ensure SLA compliance and timely resolution of support tickets.
Required Skills
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Strong experience with Hadoop ecosystem (HDFS, Hive, Spark, YARN).
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Good knowledge of Kafka, Sqoop, Oozie, Flume, or NiFi.
•
Hands-on experience with Linux/Unix administration.
•
Strong SQL and data analysis skills.
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Shell scripting (Bash) and/or Python scripting.
•
Experience with log analysis and monitoring tools.
•
Knowledge of Cloudera CDP/CDH or Hortonworks platforms.
•
Understanding of incident, problem, and change management processes.
•
Excellent troubleshooting and communication skills.
Good to Have
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Experience with Kubernetes/OpenShift.
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Knowledge of Airflow, Data Engineering concepts, and ETL pipelines.
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Exposure to cloud platforms (AWS, Azure, GCP).
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Banking or Financial Services domain experience.
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Git and CI/CD knowledge.
Mandatory Skills
Hadoop, HDFS, Hive, Spark, Kafka, Linux, SQL, Shell Scripting, Python, Production Support, RCA, Cloudera/CDP, Incident Management.