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Robosoft Technologies - Data Warehouse/ETL Developer - SQL/Python


Robosoft Technologies


Location

Bangalore | India


Job description

Job Title : Data Warehouse and ETL Developer Location : IndiaExperience : 7 - 9 yearsWork Location : Work from homeRole : ContractorRobosoft is looking for a highly skilled Datawarehouse and ETL developer with 7+ years of experience to join our dynamic team.If you have a proven track record in data architecture, extensive experience with Data Warehousing and visualization projects, expertise in MongoDB, SQL Server, SSIS, Azure Data Factory, Python scripting, and a strong background in design and developing analytics warehouse with required transformation using an ETL tool, would like to hear from you.Responsibilities :- Execute Data warehousing and ETL workload, ensuring seamless transition and optimization of existing data workflows.- Ability to design and develop analytical warehouse model for visualization tool consumption- Design and develop ETL transformation from the source DB (MongoDB) to the new analytical Datawarehouse and optimize data models for efficient storage, retrieval, and analysis of large volumes of structured and unstructured data.- Develop and maintain Python scripts for data processing, transformation, and automation tasks if required- Ensure data quality and integrity across the warehouse and visualization tool by implementing data governance policies and best practices.- Ensure the performance and scale of the overall solution by optimizing the design and queriesRequirements :- Bachelor's degree in Computer Science, Engineering, or related field. - Hand-on experience on language like Python and SQL- 7 years of experience in implementing Datawarehouse and ETL solutions- Analytical Datawarehouse design and ETL design is must- Exposure to insurance or road side assistance domain is an added advantages- Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.- Strong problem-solving and analytical skills, with a focus on delivering innovative and scalable data solutions.- Relevant certifications in data architecture, cloud computing, or related areas are a plus. (ref:hirist.tech)


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