Lead I - Talend Developer

UST; Pune District, Chennai District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

UST is seeking an experienced Talend Developer to support assessment, migration, validation, and phased decommissioning of Talend workloads as they transition to Databricks.

You will work closely with architects and Databricks engineers to preserve business logic, dependencies, and runtime behavior during migration, while classifying jobs by complexity and documenting platform-specific configurations and custom components.

Qualifications

• 7+ years of hands-on experience with Talend Data Integration.
• Experience with Talend Studio and TAC / TMC.
• Ability to read, explain and customize Java embedded in Talend jobs.
• Experience supporting Talend migration or decommissioning.

Responsibilities

• Assess current Talend workloads and migrate to Databricks.
• Document dependencies, routines, contexts, and custom components.
• Explain legacy Talend behavior to Databricks engineers.
• Validate inferred business rules and assist conversion activities.

Skills

Talend Data Integration

Talend Studio

tMap

tJava / tJavaRow

Routines

Java code in Talend

Tools

Talend Studio

TAC / TMC

Contextual knowledge of ETL

Job description

Job Title

Talend Developer

Experience

7+ Years

Location

Chennai / Pune

Role Overview

We are looking for an experienced Talend Developer to support the assessment, migration, validation, and phased decommissioning of existing Talend workloads as they transition to Databricks.

The ideal candidate will bring strong hands‑on expertise in Talend Data Integration, Java‑based Talend customizations, and legacy ETL workflows. The role requires close collaboration with architects and Databricks engineers to ensure existing business logic, dependencies, reconciliation rules, and runtime behavior are accurately understood and reproduced during migration.

What You Will Do

• Work closely with the architect to review the existing Talend inventory and identify:
  • Job dependencies and hidden coupling
  • Shared routines
  • JARs and plugins
  • Joblets
  • Context groups
  • Custom components
• Classify Talend jobs into simple, complex/custom, and difficult categories.
• Identify and document:
  • Platform‑specific protections and configurations
  • Custom Java implementations
  • Third‑party components
  • Mainframe integrations
  • Kafka touchpoints
• Review CodeCrafter‑generated extracted logic across samples from each complexity category.
• Validate, correct, or annotate inferred business rules before conversion activities begin.
• Explain legacy Talend behavior to Databricks engineers, including:
  • Ambiguous expressions
  • Null and reject handling
  • Type coercion
  • Scheduling behavior
  • Job execution logic
• Support Gate 1 source baselines by documenting:
  • How existing jobs are parameterized and executed
  • What existing run history indicates
  • Where current reconciliation logic resides
• Participate in mismatch and reconciliation triage to determine whether variances are caused by:
  • Existing Talend behavior or quirks
  • Source or data issues
  • Conversion defects
• Document findings and resolutions to support migration acceptance.
• Advise on decommissioning sequencing to ensure Talend jobs are retired only after their Databricks equivalents have been successfully accepted.

Must‑Have Skills

• 7+ years of hands‑on experience with Talend Data Integration, including:
  • Talend Studio
  • TAC / TMC
  • tMap
  • tJava / tJavaRow
  • Routines
• Strong ability to read, understand, and explain Java code embedded within Talend jobs and routines.
• Previous experience supporting a Talend decommissioning or migration to another data platform.
• Ability to explain complex legacy Talend logic clearly to engineers who may not have prior Talend experience.

Strongly Preferred

• Prior experience with payments or financial‑services data flows.
• Exposure to:
  • Talend ESB
  • Talend Data Quality
  • Talend MDM
• Familiarity with Apache Spark and/or Databricks concepts, with the ability to bridge Talend and Databricks implementations.