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Qlik Replicate Developer

2 weeks ago

Bengaluru, Karnataka, India SWITS DIGITAL Private Limited Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title:
Qlik Replicate Developer

Location:
Pan India

Experience:
5-10 Years

Job Description

  • Design, develop, and maintain data replication and integration workflows using Qlik Replicate to ensure seamless data movement across heterogeneous systems (on-premises and cloud).
  • Implement and optimize ETL/ELT processes for data integration, transformation, and loading into data warehouses.
  • Collaborate with data architects, engineers, and analysts to design and maintain robust data warehousing solutions (e.g., Oracle Data Warehouse, SQL Data Warehouse, Redshift or similar)
  • Ensure data quality, integrity, and performance by monitoring and tuning Qlik Replicate tasks and data pipelines.
  • Develop and maintain documentation for data replication processes, configurations, and data lineage.
  • Troubleshoot and resolve issues related to data replication, connectivity, and performance in real-time data environments.
  • Monitors usage of the Data Warehouse to identify potential capacity overloads and bottlenecks
  • Leads the tuning of ETL processes & Databases.
  • Leads in writing and reviewing software functional specifications and design reviews
  • Implement best practices for data governance, security, and compliance (e.g., GDPR, CCPA) within replication and warehousing solutions.
  • Support data migration projects, ensuring minimal downtime and accurate data transfer between systems.
  • Stay updated on Qlik Replicate features, data engineering trends, and emerging technologies to recommend improvements and innovations.
  • Mentor junior developers and provide technical guidance on Qlik Replicate and data engineering best practices.

Knowledge, Skills And Abilities

  • Expertise in Qlik Replicate configuration, task management, and performance optimization.
  • Strong knowledge of data warehousing concepts (e.g., star schema, snowflake schema, dimensional modeling).
  • Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL).
  • Experience with cloud platforms (e.g., AWS, Azure) and their data services.
  • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.
  • Knowledge of scripting languages (e.g., Python, Shell) for automation and data processing.