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Senior Software Engineer
1 week ago
Senior Software Engineer - Databricks Engineer
Kadel Labs is a first-of-its-kind Venture Studio in India. It is a global software technology system incubator with synergetic blend of IT Services and SaaS products under its portfolio. Since 2017, KL has grown organically (180+ employees and expanding) and served 200+ Customers. At the core, KL is a people's company. We serve clients by practicing an employee-centric culture and creating an environment where ideas, creativity, free-flowing communication and innovation is encouraged to create better products and : 3-5 years
Location : Description :
Databricks engineer who has strong experience in Cloud technologies and infra set up. Able to create data warehousing models.
Responsibilities :
- Cloud technologies (Azure data services Azure ADLS SHIR ADF Integration with Active directory masking and encryption Governance activities Lineage Catalogue classifications.
- Infrastructure setup in Azure. Experienced with multiple data-ingestion methods for loading data to Databricks:
- ADF python Copy Into for large volume of data as well as incremental data handling Data lake and Data Warehouse Design and optimization Data Analysis CDC
- Must Have Technical understanding of digital customer experience layers Been Leading and built at least 1 2 Projects on Azure cloud with Databricks
- Experience with CDC and metadata driven based processing.
- Have build DWH models Must Have Agile methodology Nice to understand Agile and devops methodology for cloud deployment.
- Nice to Have Team Skills Working experience to work with Indian banking industry.
- Work with cross functional teams including QA Platform Delivery and DevOps. Not afraid of refactoring existing system and guiding the team about same.
- Must Have Delivery Management Able to plan and deliver project deliverable on time with quality.
Requirements/Skills :
- 3-5 years of demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines
- Hands-on experience in using Databricks
- Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud)
- Experience with column-oriented database technologies (e.g., Big Query, Redshift, Vertica), NoSQL database technologies (e.g., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL)
- Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
- Certification on Databricks Data Engineer.
- Must have Delta Lake Concepts, Delta Live tables and Streaming Data.
- Understanding on CICD and repo.
- Experience in Apache Spark Configuration and optimization techniques
Education and Experience : BTech or relevant educational field required
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