IN_Manager_Databricks_Data & Analytics_Advisory_PAN India

Analyses current business practices, processes, and procedures as well asidentifyingfuture business opportunities forleveragingMicrosoft Azure Data & Analytics Services.

Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics.

Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.

Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.

Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.

Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks

Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained

Working with other members of the project team to support delivery ofadditionalproject components (API interfaces)

Evaluating the performance and applicability of multiple tools against customer requirements

Working within an Agile delivery / DevOpsmethodologyto deliver proof of concept and production implementation in iterative sprints.

Integrate Databricks with other technologies (Ingestion tools, Visualization tools).

Proven experience working as a data engineer

Highly proficient in using the spark framework (python and/or Scala)

Extensive knowledge of Data Warehousing concepts, strategies, methodologies.

Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).

Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics

Experience in designing and hands-on development in cloud-based analytics solutions.

Expert level understandingonAzure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service isrequired.

Designing andbuilding ofdata pipelines using API ingestion and Streaming ingestion methods.

Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.

Thorough understanding of Azure Cloud Infrastructure offerings.

Strong experience in common data warehouse modelling principles including Kimball.

Working knowledge of Python is desirable

Experience developing security models.

Databricks & Azure Big Data Architecture Certification would be plus

Must be team oriented with strong collaboration, prioritization, and adaptability skillsrequired