Posted 17 May, 2026
Information Technology_IND - IND_Developer
Diverse Lynx
Karnataka
Full Time
Reference: 365_569689_26-00103
Skills: Digital : BI Data Visualization - Qlikreplicate~PL/SQL
Experience Required: 6-8
Location : Bangalore
JOB DESCRIPTION:
Work closely under supervision of a project manager on the followingDesign| 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 ETLELT 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 bottlenecksLeads the tuning of ETL processes Databases.Leads in writing and reviewing software functional specifications and design reviewsImplement 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.
Experience Required: 6-8
Location : Bangalore
JOB DESCRIPTION:
Work closely under supervision of a project manager on the followingDesign| 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 ETLELT 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 bottlenecksLeads the tuning of ETL processes Databases.Leads in writing and reviewing software functional specifications and design reviewsImplement 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.
