6 Delta Sharing Jobs

As a Data Engineer with 5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions, your key responsibilities will include: - Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Implementing highly performant data ingestion pipelines from multiple sources using data warehousing concepts such as Dimensional (star-schema), SCD2, Data Vault, Denormalized, OBT. - Demonstrating a strong proficiency in Python and SQL for data manipulation and analysis. - Utilizing the features of the Databricks platform including Delta Lake, Databr...

Responsibilities ETL Development: Build and maintain ETL/ELT pipelines using Databricks & Apache Spark (PySpark/Scala). Data Warehousing: Design and implement Star Schema, Snowflake Schema, and Data Vault models. Databricks Optimization: Optimize Delta Lake storage, caching, and job execution to improve query performance. Databricks Optimization: Optimize Delta Lake storage, caching, and job execution to improve query performance. Data Ingestion & Processing: Develop scalable ingestion pipelines using Structured Streaming, Auto Loader, and Databricks Workflows. Data Governance & Security: Implement Unity Catalog, role-based access controls (RBAC), and compliance standards. Performance Tuning...

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that cater to clients" most intricate digital transformation requirements. With a strong focus on consulting, design, engineering, and operations, we assist clients in achieving their boldest goals and establishing sustainable, future-ready businesses. Our global presence spans over 65 countries, with a workforce of over 230,000 employees and business partners. At Wipro, we are committed to supporting our customers, colleagues, and communities in navigating the constantly evolving landscape of the modern world. As an Azure Platform Engineer specializing in Databricks, your respo...

Work Mode: Hybrid (3 days WFO) Locations: Bangalore, Noida, Pune, Mumbai, Hyderabad (Candidates must be in Accion cities to collect assets and attend in-person meetings as required). Key Requirements: Technical Skills: Databricks Expertise: 5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure. Proficiency in Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT), MLflow, and Databricks SQL. Experience with Databricks CI/CD tools (e.g., BitBucket, GitHub Actions, Databricks CLI). Data Warehousing & Engineering: Strong understanding of data warehousing concepts (Dimensional, SCD2, Data Vault, OBT, etc.). Proven ability to impleme...

Primary Skills Databricks Engineer: 7+ yrs of total experience with around 3 yrs in leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS / Azure cloud environment. Create new Databricks workspaces (premium, standard, serverless) and clusters including right sizing Drop unused workspaces Delta Sharing: Work with enterprise teams on connected data (data sharing) User Management \ Create new security groups and add/delete users Assign Unity Catalog permissions to respective groups/teams Review and analyze Databricks logs and error messages. Identify and address problems related to cluster configuration or job failures...

Work Mode: Hybrid (3 days WFO) Locations: Bangalore, Noida, Pune, Mumbai, Hyderabad (Candidates must be in Accion cities to collect assets and attend in-person meetings as required). Key Requirements: Technical Skills: Databricks Expertise: 5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure. Proficiency in Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT), MLflow, and Databricks SQL. Experience with Databricks CI/CD tools (e.g., BitBucket, GitHub Actions, Databricks CLI). Data Warehousing & Engineering: Strong understanding of data warehousing concepts (Dimensional, SCD2, Data Vault, OBT, etc.). Proven ability to impleme...