6+ ADF Jobs in Pune | ADF Job openings in Pune

Review Criteria

• Strong Senior Data Engineer profile
• 4+ years of hands-on Data Engineering experience
• Must have experience owning end-to-end data architecture and complex pipelines
• Must have advanced SQL capability (complex queries, large datasets, optimization)
• Must have strong Databricks hands-on experience
• Must be able to architect solutions, troubleshoot complex data issues, and work independently
• Must have Power BI integration experience
• CTC has 80% fixed and 20% variable in their ctc structure

Preferred

• Worked on Call center data, understand nuances of data generated in call centers
• Experience implementing data governance, quality checks, or lineage frameworks
• Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture

Job Specific Criteria

• CV Attachment is mandatory
• Are you Comfortable integrating with Power BI datasets?
• We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

Ideal Candidate

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

ROLES AND RESPONSIBILITIES:

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

IDEAL CANDIDATE:

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

ROLES AND RESPONSIBILITIES:

We are seeking a skilled Data Engineer who can work independently on data pipeline development, troubleshooting, and optimisation tasks. The ideal candidate will have strong SQL skills, hands-on experience with Databricks, and familiarity with cloud platforms such as AWS and Azure. You will be responsible for building and maintaining reliable data workflows, supporting analytical teams, and ensuring high-quality, secure, and accessible data across the organisation.

KEY RESPONSIBILITIES:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build, optimise, and troubleshoot SQL queries, transformations, and Databricks data processes.
• Work with large datasets to deliver efficient, reliable, and high-performing data solutions.
• Collaborate closely with analysts, data scientists, and business teams to support data requirements.
• Ensure data quality, availability, and security across systems and workflows.
• Monitor pipeline performance, diagnose issues, and implement improvements.
• Contribute to documentation, standards, and best practices for data engineering processes.

IDEAL CANDIDATE:

• Proven experience as a Data Engineer or in a similar data-focused role (3+ years).
• Strong SQL skills with experience writing and optimising complex queries.
• Hands-on experience with Databricks for data engineering tasks.
• Experience with cloud platforms such as AWS and Azure.
• Understanding of ETL/ELT concepts, data modelling, and pipeline orchestration.
• Familiarity with Power BI and data integration with BI tools.
• Strong analytical and troubleshooting skills, with the ability to work independently.
• Experience working end-to-end on data engineering workflows and solutions.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

Onepoint does more than solving complex digital challenges. It is a place for you to explore your potential, elevate yourself, and transform your career. An opportunity to belong to a diverse international team knit together by a culture built on respect and integrity. A team with

deep technical and business expertise, emboldened by a supportive, nurturing environment. An environment that celebrates the diversity of thinking, knowledge sharing, innovative mindsets,

personal growth, and career progression. Add in the company‘s forward-thinking management and a commitment to offering a healthy life-work balance, and you start to get an insight into the magic sauce that makes Onepoint a uniquely special place to work.

As an ETL Developer/Data Engineer, you will focus on developing new features, implementing unit tests and help develop forward-thinking development strategies. You are passionate about developing software and scripting to maintain complex data-related systems, with vision and

talent to contribute to emerging areas such as cloud technologies. Working together with highly skilled technical experts, you will be a driving force in building world-class solutions for our clients across the globe.

To learn more about the position.. please see detailed Job description and let us know if you meet the requirements

http://www.onepointltd.com/wp-content/uploads/2025/07/PUNE_JD2025-07_IN.002-ETL-Developer.pdf

Job Title: Developer

Work Location: Pune, MH

Skills Required: Azure Data Factory

Experience Range in Required Skills: 6-8 Years

Job Description: Azure, ADF, Databricks, Python

Essential Skills: Azure, ADF, Databricks, Python

Desirable Skills: Azure, ADF, Databricks, Python