Description :

Shift Timing (Including time zone) : 2 PM 11 PM IST

Experience Range : 7+ years

Minimum Qualifications :

- 7+ years experience in a predictive and decision support analytics function

- 7+ years quantitative analysis experience

- 3+ years of advanced analytics development experience

- Strong foundation in statistics

- Bachelor's Degree in Computer Science, Computer Engineering, MIS, or related field

Must Have Skills :

- General architecture

- Familiar with large-scale analytical systems

- Understanding of designing workflow/process-based systems

- Experience solutioning Cloud based enterprise data architectures

- Information architecture

- Data Modeling principles for relational and dimensional data structures

- Data Warehouse design principles (e.g. Kimball, Inmon)

- Data Lake design principles

- Cyclotron Internal 2

- Hybrid enterprise data architecture

- Expertise using various open source or dedicated analytics tools Matlab, R, Python, Scala

- SQL Server core database engine (SQL, T-SQL code development)

- Microsoft Azure

- Azure Advanced Analytics

- Azure PaaS

- Azure Data Services

- Azure Data Factory

- Cosmos db

- Azure Data Lake

- Azure Databricks

- Azure Storage, Azure Data Explorer, etc., etc.

- Big Data technologies / Languages :

- Python, Spark, Scala, PySpark

Good to Have Skills & Certifications :

- Big Data technologies / Languages :

- Information architecture

- Data Science application experience

- General DBMS experience

- General Reporting capabilities

- Microsoft SQL Server technologies

Key Responsibilities :

- Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.

- Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data.

- Build modern data architectures : data lakes, warehouses, lakehouses, and streaming platforms.

- Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.

- Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.

- Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.

- Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.

- Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem.

- Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.