Description :

Operating Model : Work From Home (Remote)

Type of position (New / Replacement) : New

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 :

Technical 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

- 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

Non-Technical Skills :

Communication :

- Clear and effective verbal and written communication for both technical and non-technical audiences

- Confident presentation skills, including the ability to explain complex concepts to senior clients.

Teamwork & Leadership :

- Ability to mentor, coach, and lead cross-functional teams in collaborative environments

- Ability to foster a problem-solving culture and contribute meaningfully to team objectives.

Client Engagement :

- Strong sense of responsibility, accountability, and trust-building with client stakeholders.

- Ability to manage client expectations regarding scope, timeline, and cost.

Adaptability & Learning :

- Growth mindset and willingness to continuously improve skills and adopt new technologies.

- Comfort in fast-paced consulting environments and ability to quickly learn new tools and concepts.

Organization & Initiative

- Results-oriented approach with a reputation for getting things done.

- Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks.

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.