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No of position :- ( 1 )
Post :- 29th Aug 2023
- 10+ years of relevant experience in ETL, Data Management or Data Integration.
- 5+ years in Talend as a Senior Data Engineer.
- Strategic/Management consulting experience is highly desired.
- Must have experience on one or more Talend Modules – TAC, TMC, Data Integration, Data Quality, ESB, API Design and Services and Big Data Frameworks.
- Must have worked on Talend Data Integration for 5+ years in Cloud environment and experience with Talend Admin Console (TAC).
- Experience working on the Talend Cloud Management Console Public API enabling users to manage Talend. Management Console (TMC) from an external system (for example, a scheduler, script, or program).
- Experienced Talend Architect and proficient in designing and developing mappings, transformations, sessions and workflows, and deploying integration solutions.
- Extensive experience in ETL methodology for performing Data Profiling, Data Migration, Extraction Transformation and Loading using Talend.
- Experience in delivering quality work on time with multiple, competing priorities.
- Excellent troubleshooting and problem-solving skills, must be able consistently identify critical elements, variables and alternatives to develop solutions.
- Experience in identifying, analyzing and translating business requirements into conceptual, logical and physical data models in complex, multi-application environments.
- Experience with Agile and Scaled Agile Frameworks.
- Experience in identifying and documenting data integration issues, challenges such as duplicate data, non-conformed data, and unclean data. Multiple platform development experience.
- Strong experience in performance tuning of ETL processes using Talend.
- Experience in Cloud technologies such as AWS/Azure or Google cloud.
- Experience in using cloud components and connectors to make API calls for accessing data from cloud storage (Amazon S3) in Talend Open Studio.
A- pache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs).
- Development experience in databases like Oracle, AWS Redshift, AWS RDS, Postgres Databricks and/or Snowflake.
- Hands-on professional work experience with Python is highly desired.
- Experience in real-time or batch data ingestion.
- Strong communication and teamwork skills to interface with development team members, business analysts, and project management. Excellent analytical skills.