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Qlik Replicate Developer

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Onsite

Qlik Replicate Developer

Tata Consultancy Services

Qlik Replicate Developer

Skills

SQL QueriesBig DataData EngineeringDockerPythonMySQLKafkaAmazon RedshiftData AnalysisAWSKubernetesOracleITILHadoopCompliancePower BIAzure

3 months ago

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Important information


Contract type:

Permanent

Location:

Kolkata, West Bengal, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


Greetings from TCS!

Job Title: – Qlik Replicate Developer

Walkin Date: 25th July ‘26

Walkin Location: Tata Consultancy Services Ltd, Ecospace Business Park, Plot No. II/F-11 & II/F-12, Action Area II, New Town, Rajarhat, Kolkata

Walkin Time: 9am-1pm

Experience Range: 5+ yrs

Job description:

TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.

Key Responsibilities

  • Design, develop, and maintain data replication and integration workflows using Qlik Replicate across on-premise and cloud systems.
  • Implement and optimize ETL / ELT processes for data integration, transformation, and loading into enterprise data warehouses.
  • Configure, monitor, tune, and troubleshoot Qlik Replicate tasks to ensure data quality, integrity, and pipeline performance.
  • Support real-time data replication and Change Data Capture (CDC) use cases with minimal downtime and accurate data movement.
  • Collaborate with data architects, data engineers, BI teams, and analysts to maintain robust data warehousing solutions.
  • Diagnose and resolve data replication, connectivity, latency, and performance issues in production and non-production environments.
  • Lead tuning of ETL processes, database queries, and data pipelines to improve throughput, scalability, and reliability.
  • Monitor Data Warehouse usage to identify capacity constraints, bottlenecks, and operational risks.
  • Prepare and maintain technical documentation covering replication processes, configurations, dependencies, and data lineage.
  • Contribute to functional specifications, design reviews, and implementation reviews for data integration solutions.
  • Implement best practices for data governance, security, compliance, and operational controls.
  • Support incident resolution and change requests while following standard ITIL-aligned delivery processes.
  • Mentor junior developers and share best practices on Qlik Replicate, CDC, and data engineering delivery.

Required Skills & Experience

  • 5+ years of overall experience in Data Engineering, Data Integration, Data Warehousing, or Analytics platform delivery.
  • 3+ years of hands-on experience with Qlik Replicate for data replication, ingestion, and integration.
  • Strong knowledge of Qlik Replicate configuration, endpoint setup, task management, monitoring, and performance optimization.
  • Hands-on experience with ETL / ELT development and data pipeline implementation.
  • Proven experience designing or supporting data warehousing solutions such as Oracle Data Warehouse, SQL Data Warehouse, Amazon Redshift, or similar platforms.
  • Strong SQL skills and experience with relational databases such as Oracle, SQL Server, or MySQL.
  • Good understanding of data warehousing concepts including star schema, snowflake schema, dimensional modeling, and data mart design.
  • Experience supporting batch, near real-time, or real-time ingestion patterns.
  • Strong analytical, debugging, problem-solving, communication, and stakeholder collaboration skills.
  • Ability to work in Agile delivery models and manage multiple priorities in a fast-paced environment.

Good to Have

  • Experience implementing CDC-based replication patterns and near real-time data synchronization.
  • Exposure to cloud data services on AWS or Azure.
  • Familiarity with QlikView, OBIEE, Power BI, or similar BI / visualization tools.
  • Exposure to big data or streaming technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of automation or scripting using Python or Shell.
  • Exposure to DevOps practices such as CI/CD pipelines, Docker, or Kubernetes for data engineering environments.
  • Experience in data migration, modernization, or large-scale enterprise transformation programs.
  • Familiarity with data governance, security, privacy, and compliance practices.

Minimum Qualification: 15 years of full-time education

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