Sse - Databricks

Roles & Responsibilities: Data Lead Mind should have experience on the Azure Data platform specifically Azure Data Lake ,Azure Data Bricks, Spark SQL Mind should be familiar with Agile ways of working Should have hands on experience in Integrating different Source systems especially eCommerce related data sources Should have hands on experience in streaming analytics and data integration using Azure streaming. Integrating different Source systems like (Salesforce, Google Analytics, Amazon S3 Storage bucket, SAP etc...) Should have good communication skills and able to articulate Azure Data bricks & Azure data factory with Kafka are key technical skills required Should have good experience in Big Data Technologies like (Spark) Shoul d have good understanding of Power BI Desktop Online Service Should have hands on experience in writing DAX queries Should have architect mind set for generating Solution Good hands on experience on following tools (SSIS, Azure SQL Managed Instanc e, SQL Server Management Studio, Task Factory, Google Analytics 360) Should be good in writing T-SQL queries Should have good knowledge in CPG Domain Used Jira Tool Skills Required: Good communication skills and good stakeholder managemente xperiences Experience in working in Scrum Agile Highly numerate with strong attention to details SQL proficiency Working experience on data lake, preferably with Databricks on Azure Familiar with Python (pandas, numpy) and working experienceon cloud based environment Understanding of Google Analytics, BigQuery experience is nice to have Knowledge of machine learning methodology and experience with implementation # a nice to have at this stage Technical Skills: Experienced BI Leadwit h a minimum of 8 years in Azure data skills Experience working in an Agile team Experience in building pipelines using Azure Stream Analytics Hands-on experience developing Pipelines using Azure Data bricks, Azure data factory artifacts acrossthe breadth of the tool # including design, development and deployment Data modelling (dimensional modelling) and SQL Skills are compulsory Experience on the Azure Data platform specifically Azure Data Lake ,Azure Data Bricks, Spark SQL.

Job Requirements: Databricks, PySpark, Azure Data Factory, Azure Data Lake Storage, Data Processing, Data Modeling, Querying SQL Database, Database Design, Data Processing Solution, Data Ingestion Design, Data Lake Storage

**Job Type**:
Full Time

**Location**:
KOLKATA

**Mandatory Skills**:

- Databricks

**Years of Experience**:
2 to 10 Years