Job Description

Key Responsibilities

Architecture & Design

• Architect end-to-end data integration solutions using Talend Data Integration, Talend Cloud, Talend Big Data, and related components
• Design ETL/ELT frameworks, data ingestion pipelines, workflow orchestration, and reusable Talend components
• Define architecture blueprints, HLD/LLD documentation, and integration patterns
• Lead modernization efforts including migration from legacy ETL tools to Talend
• Justify and recommend system sizing — hardware, memory, compute, cluster configurations — based on data volumes, throughput requirements, and SLA expectations

Development & Technical Leadership

• Strong hands-on development background with ability to build, review, and optimize complex Talend jobs across batch, real-time, and streaming workloads
• Build and optimize ETL/ELT pipelines integrating diverse data sources — databases, APIs, flat files, cloud platforms, and streaming systems
• Design and implement data integration via REST/SOAP APIs, HTTP connectors, and data services routes within Talend
• Implement complex transformations, data quality rules, profiling, cleansing, deduplication, metadata management, and lineage
• Leverage Talend Big Data components to process large-scale datasets on Hadoop, Spark, or cloud-native big data platforms
• Work across relational databases (Oracle, SQL Server, MySQL, PostgreSQL) and cloud storage solutions
• Provide hands-on guidance to development teams on Talend jobs, best practices, error handling, logging, and scalability
• Conduct architecture reviews, performance tuning, and optimization of Talend workloads

Streaming & Real-Time Integration

• Design and implement real-time and near-real-time data pipelines using Talend with Kafka, Spark Streaming, or equivalent streaming frameworks
• Architect event-driven integration patterns for high-throughput, low-latency data flows
• Monitor and tune streaming pipelines for performance, fault tolerance, and reliability

Data Quality & Governance

• Define and enforce data quality frameworks — profiling, validation rules, anomaly detection, and exception handling — within Talend pipelines
• Ensure alignment with enterprise data governance, security, compliance, and data lineage requirements

Operations & DevOps

• Oversee deployment, scheduling, monitoring, and maintenance of Talend jobs
• Collaborate with DevOps teams to design CI/CD pipelines for Talend solutions
• Troubleshoot production issues and ensure high availability and reliability of ETL workflows

Requirements

Required Skills & Experience

• 10+ years of overall data integration/ETL experience, with at least 4–5 years as a Talend architect or senior developer
• Strong hands-on development expertise in Talend Data Integration, Talend Cloud, Talend Big Data, and Talend Administration Center — must be able to build, not just design
• Proven experience designing HLD/LLD and integration architecture patterns
• Demonstrated ability to size and justify infrastructure and platform configurations based on workload profiling and capacity planning
• Hands-on experience with streaming technologies — Kafka, Spark Streaming, or equivalent — integrated within Talend pipelines
• Experience designing and consuming REST/SOAP APIs, HTTP-based connectors, and Talend Data Services for service-oriented integration patterns
• Strong expertise in data quality implementation — profiling, cleansing, validation, deduplication, and exception management within Talend
• Proficiency with Talend Big Data components and processing at scale on Hadoop, Spark, or cloud-native equivalents
• Experience with legacy ETL migration projects (Informatica, DataStage, SSIS to Talend preferred)
• Proficiency with relational databases (Oracle, SQL Server, MySQL, PostgreSQL) and cloud platforms (AWS, Azure, or GCP)
• Knowledge of CI/CD practices, Git-based version control, and DevOps tooling (Jenkins, GitLab CI, etc.)
• Understanding of data governance frameworks, metadata management, and lineage concepts

Good to Have

• Talend certification (Architect or Developer level)
• Exposure to cloud-native data platforms (Databricks, Snowflake, Redshift, BigQuery)
• Familiarity with enterprise data cataloguing and governance platforms (Collibra, Alation, etc.)
• Experience with containerised deployments (Docker, Kubernetes) for Talend workloads