Technical Consultant - Data Engineer

Microsoft

5 - 7 years

Hyderabad

Posted: 23/08/2025

Job Description

Overview

Microsoft Industry Solution - India Global Delivery Center (IGDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 2000+ exceptional people, IGDC presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The ideal consultant is passionate for technology, has the breadth rather than specific product depth, and has the drive and courage to articulate and stand up for a
great solution delivering true value for the client.

As a Microsoft consultant, you will deliver quality engagements with your expertise, either as an advisor, reviewer, contributor, or resource in high profile projects to ensure customer value. The ideal candidate must have the ability to combine their technical skills, leadership skills, creativity, and customer focus to deliver great
solutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solution expertise to architectural teams, customers, and partners. They apply deep technical and business knowledge to accelerate the adoption of Microsoft devices and services by ensuring strategic, architectural, and operational alignment to customer and partner

Qualifications

7+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations.
Over 5 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata

Strong Experience in large database solutions, on premises, cloud, and hybrid implementations

Strong experience in Serverless Architecture/Microservices

Strong experience of full application life cycle design tools and methodologies

Strong experience in one or more technologies under each of the following

Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight.

Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture,

Columnar (RedShift, Vertica)

OSS (MySQL, PostgreSQL and MariaDB)

CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores)

Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations.

Strong experience in Data Engineering:

Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data

Azure Stream Analytics, Azure Analysis ServiceMust have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza)

Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform.

Expertise in implementation of Data governance practices using either open source or proprietary tools.

Expertise in Data Ops

Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible.

Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain.

Nice to have AI/ML experience:

Experience in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps).

Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search

Good understanding of Prompt Engineering Basics

Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes.

Familiarity with Responsible AI princip

About Company

Microsoft Corporation is a leading American multinational technology company founded in 1975 by Bill Gates and Paul Allen. Headquartered in Redmond, Washington, Microsoft is best known for its software products, including the Windows operating system, Microsoft Office Suite, and Azure cloud services. The company also produces hardware like the Surface devices and owns LinkedIn, GitHub, and the Xbox gaming brand. Microsoft is one of the world's most valuable companies, playing a key role in personal computing, enterprise software, AI, and cloud computing.