Talend Big Data Administrator
Unison Group Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Unison Group. Mumbai.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Install, configure and upgrade Talend environments, then maintain physical and virtual execution servers across the cluster
- Connect Talend to Hadoop components and cloud object storage, and secure cluster access with protocols such as Kerberos
- Schedule and monitor batch, streaming and integration jobs, tuning JVM settings and context variables for execution
- Track job statistics, alert on pipeline errors and diagnose failures, memory leaks and slowdowns across big data nodes
- Administer user roles and project permissions, and build automated deployment flows using Git and artifact repositories
What you bring
- At least four years in data platform administration or data engineering
- Advanced working knowledge of Talend Administration Center and Talend Studio
- Strong grounding in big data frameworks such as Spark, Hadoop and Kafka
- Proficiency with Java, Linux or Unix shell scripting, and complex SQL
Who this fits
This role suits a mid-level administrator focused on Talend platform operations and big data job execution. The position is onsite in Mumbai.
From the employer
Talend Big Data Administrator oversees the Data Governance DQ platform. They are responsible for installing and configuring the Talend Administration Center (TAC) and Talend Data Catalog (TDC) managing environments, scheduling ETL/ELT jobs, ensuring high availability of distributed processing frameworks, and supporting big data engines like Spark and Cloudera Edge Nodes.
Requirements
Platform Administration & Server Management
- Install, configure, and upgrade Talend environments (TAC, TDC, Studio, JobServers, and runtimes) both native big data platform (Cloudera)
- Manage physical and virtual execution servers, ensuring load balancing and fault tolerance across the cluster.
- Integrate Talend with the broader Hadoop Ecosystem (e.g., HDFS, Hive, Spark) and cloud object storage (AWS S3, Object Storage on Cloudera).
- Manage metadata repositories, configure secure connections to big data clusters, and implement security protocols like Kerberos or Apache Knox
Job Execution & Scheduling
- Deploy, schedule, and monitor data integration, batch, and streaming tasks using the Job Conductor and Big Data Streaming Conductor.
- Set JVM parameters and context variables to optimize data pipeline performance and resource utilization at the execution level.
- Implement automated deployment pipelines and CI/CD integrations with tools like Git and Artifact Repositories
Monitoring & Troubleshooting
- Track job execution statistics, handle failures, and set up customizable alerts for pipeline errors.
- Troubleshoot complex distributed job failures, memory leaks, and performance bottlenecks across big data nodes
Security & User Access
- Administer users, roles, and project authorizations.
- Define access rights to restrict unauthorized modification or execution of project artifacts.
Qualifications & Essential Skills
- Experience: Typically 4+ years of experience in data platform administration or data engineering.
- Core Skills: Advanced knowledge of TAC (Talend Administration Center) and Talend Studio.
- Big Data & Cloud: Strong understanding of big data frameworks (Apache Spark, Hadoop, Kafka)
- Programming & Scripting: Proficiency in Java, Linux/Unix shell scripting, and writing complex SQL queries.
- Soft Skills: Excellent problem-solving abilities, strong communication, and the capacity to collaborate with architects and infrastructure teams.
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