Please make sure candidate should have below mandatory skills set in resume . Also candidate should relevant experience more than 7 years.

Bigdata /support

Hadoop

Hive

HDFS

Spark

Unix

Incident Management

SQL

Secondary skill May advantage

Kafka

Control M

Informatic

: Big Data Support Engineer

Role: Big Data Production Support Engineer

Primary Skills: Hadoop, Hive, HDFS, Spark, Unix/Linux, SQL, Incident Management

Secondary Skills (Added Advantage): Kafka, Control-M, Informatica

Job Summary

We are looking for a Big Data Support Engineer responsible for providing production support for big data applications and data processing platforms. The candidate should have hands-on experience in Hadoop, Hive, HDFS, Spark, Unix/Linux, and SQL, along with knowledge of incident management and production troubleshooting.

Key Responsibilities

- Provide L1/L2/L3 production support for Big Data applications and data pipelines.
- Monitor Hadoop ecosystem components, including HDFS, Hive, and Spark jobs.
- Troubleshoot job failures, performance issues, data processing errors, and batch delays.
- Analyze application logs and execute Unix/Linux commands to identify and resolve issues.
- Write and execute SQL queries for data validation, reconciliation, and troubleshooting.
- Monitor scheduled batch jobs and investigate failures or delays.
- Handle incidents, service requests, and problem management in accordance with SLAs.
- Perform root cause analysis (RCA) and document recurring issues and resolutions.
- Coordinate with development,



infrastructure, database, and business teams to resolve production issues.
- Support daily batch processing, data loads, and data pipeline operations.

Required Skills

- Hands-on experience with Hadoop, Hive, HDFS, and Spark.
- Robust knowledge of Unix/Linux commands, shell scripting, and log analysis.
- Good SQL skills, including joins, subqueries, aggregations, and data validation.
- Experience in incident management, ticket handling, SLA monitoring, and production support.
- Knowledge of batch processing, job monitoring, troubleshooting, and root cause analysis.
- Good communication and coordination skills.

Secondary Skills Added Advantage

- Kafka: Knowledge of topics, producers, consumers, and message processing.
- Control-M: Batch job scheduling, monitoring, dependency management, and troubleshooting.
- Informatica: ETL workflows, data integration, and workflow monitoring.

Experience Relevant experience in Big Data production support, application support, or data engineering support is preferred.

Key Competencies

- Incident and problem management
- Production monitoring and troubleshooting
- SLA adherence and timely incident resolution
- Analytical and problem-solving skills
- Team collaboration and stakeholder communication

Suggested job titles for searching:

- Big Data Production Support Engineer
- Hadoop Production Support Engineer
- Big Data Support Analyst
- Data Operations Engineer
- Big Data Application Support Engineer

📌 Big Data Support (Hyderabad)
🏢 Srinav
📍 Hyderabad