1,380 Azure Data jobs in India

Job Title: Azure Data Engineer

Experience: 6-10 Years

Job Description:

We are seeking an experienced Azure Data Engineer to design, develop, and optimize scalable data solutions in a cloud environment. The role involves building high-performance data pipelines, managing large-scale ETL/ELT processes, and collaborating with stakeholders to deliver secure and reliable data platforms.

Key Responsibilities:

- Design and implement scalable data pipelines using Azure services.

- Develop and optimize ETL/ELT processes for large datasets.

- Build distributed data solutions with PySpark and Python.

- Manage and monitor Azure resources for performance, security, and cost.

- Implement solutions on Data Lake, Synapse, and SQL Database.

- Define and enforce best practices in coding, security, and DevOps.

- Support transformation programs and ensure documentation.

Required Skills :

Azure, Databricks, ADF, PySpark, Python, SQL, Synapse, DataLake, ETL, DevOps, Cloud, Transformation

Role: Azure Data Engineer / Data Platform Engineer

Experience: 8–10 Years

Location: PAN India

Max Notice Period: 30 Days

Interview Process : Virtual Process

Required Technical Skills

Primary: Azure Data Factory (ADF), Azure Databricks (ADB)

Secondary: SSIS (SQL Server Integration Services)

Strong expertise in Azure Data Engineering & ETL Concepts

Hands-on experience with PySpark, Delta Lake, Data Lake / Lakehouse Architecture

Knowledge of Azure DevOps, CI/CD Pipelines

Strong SQL and performance tuning skills

Experience working with large-scale data pipelines and batch processing

Key Responsibilities

Design, develop, and maintain end-to-end data pipelines using ADF & Databricks

Implement data ingestion, transformation, and orchestration workflows

Optimize data performance and storage using Delta Lake and Databricks

Collaborate with cross-functional teams to understand business requirements

Perform data validation, testing, and troubleshooting of pipeline issues

Ensure data security, scalability, and performance best practices

Work on Azure cloud-based modern data platforms

Preferred Qualifications

Experience in BFSI or Insurance domain

Exposure to Azure Synapse or Azure Data Lake Gen2

Knowledge of Python or Spark SQL scripting

Strong problem-solving and communication skills

Thanks & Regards ,

Somesh Singh

TCS AI. Cloud Recruiter

Talent Acquisition Group

Website: :

E-Mail :-

LinkedIn:- linkdin.com/in/mrsomeshsingh

To Register for Jobs, Visit:

Address :- Tower-2, Okaya Centre Plot No. B-5,Sector - 62 Noida.

What you’ll be doing?

You will be responsible for the development, integration and deployment of software products. Being part of a distributed agile team, you will be expected to code, conduct code reviews, and test software releases. Having an analytical mindset with good communication skills, working in teams, and a commitment to shipping quality code on time will help you succeed in this journey.

What We Seek in You

• 5+ years of experience with data platforms, data warehouses, ETL, SQL (Microsoft preferred)
• 3 years of hands-on experience with data related Azure Cloud Services (Azure Data Factory, Azure Data Lake, Azure Functions)
• Working experience with Azure DataBricks with Spark/ Pyspark
• Solid understanding of database design, data warehousing concepts, data lake.
• Experience with performance tuning and optimizing ETL processes.
• Experience with business reporting (Power BI, SSRS, Tableau, etc) is a plus
• Experience working in an Agile environment

Life at Next:

At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth.

Perks of working with us:

• Clear objectives to ensure alignment with our mission, fostering your meaningful contribution.
• Abundant opportunities for engagement with customers, product managers, and leadership.
• You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions.
• Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory.
• Embrace continuous learning and upskilling opportunities through Nexversity.
• Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones.
• Embark on accelerated career paths to actualize your professional aspirations.

Who we are?

We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers.

Join our passionate team and tailor your growth with us!

Job Description:

• We are seeking a highly skilled and experienced Data Engineering Lead to join our team.

• The ideal candidate will have a strong background in data engineering, data architecture, and team leadership.

• As a Data Engineering Lead, you will be responsible for overseeing the design, development, and maintenance of our data infrastructure, ensuring data integrity, and leading a team of talented data engineers.

Job Responsibilities

• Lead and mentor a team of data engineers, providing technical guidance and support.

• Design, develop, and optimize scalable data pipelines and workflows.

• Ensure data quality, integrity, and security across all data processes.

• Collaborate with cross-functional teams to understand data requirements and deliver solutions.

• Develop and maintain data models, data warehouses, and databases.

• Implement best practices for data management, governance, and compliance.

• Monitor and troubleshoot data pipeline performance and reliability. Stay up-to-date with the latest trends and technologies in data engineering and analytics.

Requirements & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Minimum proven experience of 6 years as a Senior Data Engineer or in a similar role.

• Strong expertise in data engineering tools and technologies (e.g., SQL, Python, Spark, Kafka, etc.). • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies.

• Proficient in data modelling, ETL processes, and data warehousing.

• Excellent problem-solving skills and attention to detail.

• Strong technical leadership and communication skills. Ability to work collaboratively in a fast-paced, dynamic environment.

We are hiring for Azure Data Engineer.

Role: Azure Data Engineer

Experience- 7 years to 14 years

Location: PAN INDIA

Technical skill - SSIS/AZURE

Interested candidates can send their resume on below mail ID along with below details-

Please share below details-

Full Name:

Email:

Contact Details:

Total Experience:

Current location:

Preferred location:

Relevant Experience:

Notice Period:

Current CTC:

Expected CTC:

Current Company Name:

Education or career gap (if any):

EP Reference Number (if already registered with TCS) –

Highest Qualification:

Highest Qualification University Name:

Must Have-

Involved in the design, build and integration of data from various sources and the management of the existing Data Ingestion solutions in SQL Server and Azure environments. Also managing the delivery of multiple projects related to the Microsoft Distribution Data Ingestion (SSIS and Azure) on a day-to-day basis, within agreed constraints and the specified tolerances of scope, time, cost and quality.

Key responsibilities would include:

• understanding business requirements relating to business data sources with the ability to integrate it and/ or transform it effectively in accordance with business needs
• the customization and development of Extract Transform and Load routines, modelling, queries, reports and analysis
• the support of existing data marts, warehouse process chains and associated models and queries,
• Facilitating the follow up meetings and removing obstacles that affect the team
• ensuring the successful delivery of all assigned Data Engineering work on projects. across all ESB business units and their successful deployment to production, including use cases developed by our Data Science & Analytics team,
• Implement changes (CR’s) or new developments relating to existing data warehouses
• tracking project status and managing the project teams to mitigate issues and risks

troubleshooting and resolving issues with any of our SQL Server and Azure data repositories.

Greetings From TCS!

TCS is hiring Candidate for:

Azure Data Bricks, ADF

Interview Date: Weekend Inperson Drive 25-Oct-25

Mode of interview: in person

Experience Range: 5 to 8

Location of Requirement- Chennai-Magnum

Last Date of form submission: Today/ASAP

Follow me for more Job updates!

TCS presents an excellent Opportunity For "Azure Data Engineer" Role

Job Description

1 Role - Azure Data Engineer

2 Location of Requirement - Chennai

3 Mode of Interview - Inperson

4 Experience Range - 10 to 15 Years

Desired Competencies

• Azure Databricks - Basic understanding of ADB. knowledge of pyspark coding to create/debug the notebook.
• ADF - Basic understanding of pipeline and all the activities associated within pipeline.
• SQL - Able to write SQL queries and understand the basics of SQL

If You are Interested Kindly Apply

TCS present an excellent opportunity for Azure Data Engineer

Job Location: Pan India

Experience required : 6-12 yrs

Interview date: 18-Oct-25 (Saturday)

Skillset:

• Strong SQL/PL SQL knowledge (Development/Analytical)
• Good at Azure Data Engineering( Databricks/Data Factory)
• Must have Airline domain expertise ( Revenue Accounting/Booking/Inventory/Pricing)
• Knowledge of ITIL practice