Azure Senior Data Engineer

Job Title/Role: Senior Data Engineer

Location: India (Remote)

Operating Model: Work From Home (Remote)

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

o Familiar with large-scale analytical systems

o Understanding of designing workflow/process-based systems

o Experience solutioning Cloud based enterprise data architectures

· Information architecture

o Data Modeling principles for relational and dimensional data structures

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

o Data Lake design principles

o Hybrid enterprise data architecture

o 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

o Azure Advanced Analytics

o Azure PaaS

o Azure Data Services

§ Azure Data Factory

· Cosmos db

§ Azure Data Lake

§ Azure Databricks

§ Azure Storage, Azure Data Explorer, etc., etc.

· Big Data technologies / Languages:

o 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:

o Big Data technologies / Languages:

o Information architecture

o Data Science application experience

o General DBMS experience

o General Reporting capabilities

o 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.

Role Summary: As a Senior Data Engineering Consultant, you will architect, build, and optimize scalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices.

Education Qualifications: Bachelors in Computer Science, Engineering, or related discipline (Master’s preferred).

Job Type: Full-time

Pay: From ₹2,500,000.00 per year

Experience:

• Azure: 7 years (Required)

Work Location: Remote