Sse - Databricks

Roles & Responsibilities: Data & Reporting Engineer Mind should have experience on the Azure Data platform specifically Azure Data Lake, Data Bricks, PySpark Mind should be familiar with Agile ways of working Should have hands on experience in Inte grating 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 et c.) 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) Should 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 Instance, 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 managementexperiences 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 Lead with a minimum of 3 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 # i ncluding 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, Database Design, Querying SQL Database, Data Ingestion Design, Data Lake Storage, Data Processing Design

**Job Type**:
Full Time

**Location**:
KOLKATA

**Mandatory Skills**:

- Databricks

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