Job description
This role is for one of the Weekday's clients Salary range: Rs 1800000 - Rs 2000000 (ie INR 18-20 LPA) Experience: 4+ yrs Location: Hyderabad, Telangana, India Job Type: Full-Time We are looking for a proactive and technically skilled Big Data Support Engineer to provide operational support for enterprise-scale Big Data platforms and business-critical data applications.
This role is ideal for professionals with strong expertise in Big Data technologies, Hadoop ecosystems, and Application Support who enjoy troubleshooting complex production issues, maintaining platform stability, and ensuring high availability of data processing systems.
As a Big Data Support Engineer, you will be responsible for monitoring, supporting, and optimizing Big Data environments while collaborating with development, infrastructure, and operations teams to resolve incidents and improve overall system performance.
You will play a key role in maintaining production environments, identifying root causes, implementing preventive measures, and ensuring smooth execution of large-scale data pipelines.
This position offers an excellent opportunity to work with distributed data platforms and contribute to reliable, scalable, and high-performing data ecosystems.
Key Responsibilities Provide production support for enterprise Big Data applications and Hadoop-based platforms.
Monitor application health, batch jobs, and data processing workflows to ensure continuous availability and performance.
Investigate, troubleshoot, and resolve production incidents within defined service level agreements (SLAs).
Perform root cause analysis for recurring issues and implement long-term corrective actions.
Monitor Hadoop cluster performance and ensure optimal utilization of platform resources.
Support data ingestion, processing, and workflow execution across distributed data environments.
Coordinate with development, infrastructure, database, and DevOps teams to resolve application and platform issues efficiently.
Analyze application logs, Hadoop services, and system metrics to diagnose failures and performance bottlenecks.
Execute deployment support activities, application validations, and post-release monitoring.
Maintain operational documentation, incident reports, knowledge base articles, and standard operating procedures.
Participate in production releases, maintenance activities, disaster recovery exercises, and on-call support rotations.
Recommend automation opportunities and process improvements to enhance platform reliability and operational efficiency.
Ensure compliance with operational standards, security policies, and change management processes.
What Makes You a Great Fit 4+ years of experience in Big Data Support , Application Support , or Production Support environments.
Strong hands-on experience with Hadoop and distributed Big Data ecosystems.
Good understanding of Hadoop components such as HDFS, YARN, MapReduce, Hive, Spark, Kafka, Sqoop, Oozie, or related technologies.
Experience supporting enterprise data pipelines, batch processing systems, and large-scale distributed applications.
Strong troubleshooting skills with the ability to analyze application logs, identify root causes, and resolve production issues efficiently.
Familiarity with Linux/Unix environments, shell scripting, and operational monitoring tools.
Good understanding of SQL and data processing concepts.
Experience working with ticketing systems, incident management processes, and production support best practices.
Knowledge of application deployment, release management, and environment support activities.
Strong analytical and problem-solving skills with excellent attention to detail.
Effective communication and collaboration skills with the ability to work across cross-functional technical teams.
A customer-focused mindset, willingness to work in a fast-paced support environment, and commitment to ensuring platform stability, performance, and continuous service improvement.
This job post has been translated by AI and may contain minor differences or errors.
