Hyderabad Telangana Senior data engineer ( databricks) Jobs – 89 Open Jobs Today

Senior Consultant Data, AI
Microsoft —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
Sr Assocoate Software Engineer
Amgen —Hyderabad, Telangana
- Computer Science
- Master's degree
- Databases
Consultant - Data Engineering
Chryselys —Hyderabad, Telangana
- Azure
- SQL
- AWS
Quick apply
Software Engineering Senior Analyst - HIH - Evernorth
The Cigna Group —Hyderabad District, Telangana
- Full-time
- Azure
- Oracle
- Computer Science
- Health insurance
14d
Sw Staff Data Engineer
Candescent (Digital First Holdings LLC) —Hyderabad, Telangana
- Full-time
- Hybrid work
- Java
- Databases
- SQL
Quick apply
Databricks Solution Architect
Unison Group —Hyderabad, Telangana
- Azure
- DevOps
- Master's degree
Quick apply
Sr Associate Data Analytics – Global Supply Chain Planning
Amgen —Hyderabad, Telangana
- Computer Science
- Master's degree
- SQL
Sr Associate Software Engineer
Amgen —Hyderabad, Telangana
- Azure
- Computer Science
- Salesforce
Director Software Engineering
Trimont Services India Pvt Ltd —Hyderabad, Telangana
- Hybrid work
- Azure
- Computer Science
- Java
Staff Software Engineer (DE, Backend, Gen AI), (C360 Team) – Hyderabad
Warner Bros. Discovery —Hyderabad, Telangana
- Computer Science
- Java
- Databases
Digital R&D Integration Manager
Sanofi —Hyderabad, Telangana
- Hybrid work
- Azure
- Management
- Computer Science
Senior Data Engineer
Optum —Hyderabad, Telangana
- Full-time
- Azure
- SQL
- Bachelor's degree
- Health insurance
- Flexible schedule
1h

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Senior Consultant Data, AI

Microsoft -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Qualifications

BCS
TensorFlow
CI/CD
Image processing
Azure
Computer Science
Computer vision
Big data
Software deployment
DevOps
Spark
Microsoft SQL Server
NoSQL
SQL
Bachelor's degree
Continuous integration
Deep learning
Azure Certification
Natural language processing
Talend
ETL
Agile
Kafka
SSIS
AI
Informatica
Leadership
Communication skills
Python
Analytics
Hadoop

Full job description

Overview

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center (GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 2000+ exceptional people, GCID 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 about technology, has 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 Data & AI consultant, you will deliver quality engagements with your expertise, as a key contributor to high profile data and AI 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 objectives.

Responsibilities

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release.

Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.

Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.

Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements.

Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.

Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.

Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.

Responsible for implementing the technology strategy with support from Senior peers

Applies information-compliance and assurance policies to ensure stakeholder confidence.

Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

Consistently upskills through regular trainings and certifications on Azure Data and AI to be able to contribute to the future needs of the organization and customers

Qualifications

10+ years of experience

Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.

Knowledge of solution design, planning, development and deployment of complex solutions

One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)

Core Data Engineering & Platform Skills

Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments

Strong foundational experience with Azure Data Services and data platform modernization initiatives

Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus

Experience/knowledge of one or more SQL and NoSQL database systems

Hands-on experience building AI-powered data pipelines using ETL/ELT tools like:

Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow

Exposure to data migrations, platform upgrades, and modernization efforts

Understanding of multitenant data platform designs, basic security hardening, and access control concepts

Knowledge of Big Data ecosystems like Spark, Databricks, Kafka, Hadoop, etc.

AI / ML Foundations

Experience building or supporting ML ready datasets and basic feature engineering

Exposure to operationalizing ML pipelines and MLOps concepts, on Azure stack

Foundational knowledge of:

Large Language Models (LLMs)

Model training, evaluation, and deployment workflows

Azure cloud and AI stack like Azure Foundry, Azure OpenAI, etc

Handson experience or knowledge in one or more of:

NLP, Document Intelligence & Indexing

Computer Vision

RAG frameworks or AI Search

Basic understanding of Prompt Engineering

Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch, and orchestration frameworks like LangChain/LangGraph

Familiarity with Responsible AI principles – fairness, interpretability, and governance

Engineering Practices & Delivery

Experience working in Agile teams with knowledge of/exposure to Azure DevOps

Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry

Knowledge of secure coding practices, observability basics, and performance considerations

Handson programming experience, preferably in Python

Consulting Mindset & Collaboration

Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions with customers to help solve their business challenges

Strong communication skills to explain technical concepts to business stakeholders

Comfortable working in ambiguous environments, learning quickly, and adapting to change

Eagerness to build engineering excellence, reusable components, and best practices

Growth & Learning Orientation

Strong interest in continuous learning and technical certifications

Curiosity to explore emerging data and AI technologies

Willingness to receive feedback, grow technical depth, and expand ownership over time

Data Architecture Foundations (Good to have)

Good understanding of core data architecture patterns:

Dimensional modeling

Lambda and Kappa architectures

Timeseries data processing

Familiarity with Azure Stream Analytics and Azure Analysis Services

Awareness of data governance concepts and tools (opensource or proprietary)

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Apply Now

Refine Your Search

senior data engineer ( databricks) jobs in hyderabad telangana

Senior Consultant Data, AI

Sr Assocoate Software Engineer

Consultant - Data Engineering

Software Engineering Senior Analyst - HIH - Evernorth

Sw Staff Data Engineer

Databricks Solution Architect

Sr Associate Data Analytics – Global Supply Chain Planning

Sr Associate Software Engineer

Director Software Engineering

Staff Software Engineer (DE, Backend, Gen AI), (C360 Team) – Hyderabad

Digital R&D Integration Manager

Senior Data Engineer

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