Infosys Pune Hiring: Senior Consultant – Expertise in Python, SQL, Dagster & Databricks

Infosys Limited, a global leader in next-generation digital services and consulting, is inviting applications for an exciting opportunity in its Data & Analytics Unit. This role is designed for seasoned professionals with expertise in Python, SQL, Dagster, and Databricks, who are ready to lead complex data-driven initiatives, architect advanced analytics solutions, and deliver transformative results for global clients.

About Infosys

Infosys is internationally recognized for driving digital transformation and innovation through cutting-edge technology solutions. With a presence in over 50 countries, Infosys partners with enterprises to reimagine their business processes, enhance efficiency, and deliver sustainable value. Its collaborative work culture, strong focus on continuous learning, and exposure to diverse global projects make it an ideal workplace for ambitious professionals.

Position Overview

Job Title: Python, SQL, Dagster, Databricks Consultant
Location: Pune, India
Job ID/Reference Code: INFSYS-EXTERNAL-222979
Experience Required: 8 – 13 years
Educational Requirements: MCA, MSc, Bachelor of Engineering, BBA, BSc

Role Summary

As a Python, SQL, Dagster, Databricks Consultant at Infosys, you will lead high-value consulting engagements that leverage advanced analytics, data engineering, and cloud-based solutions. From problem definition to solution deployment, you will play a critical role in shaping data-driven strategies that align with client objectives, mitigate risks, and unlock business insights.

Key Responsibilities

1. Consulting and Solution Delivery

• Lead consulting engagements across the full lifecycle—problem analysis, solution design, development, testing, and deployment.
• Oversee proposals prepared by consulting teams, ensuring they are technically sound and strategically aligned.
• Analyze proposed solutions to identify risks, dependencies, and areas for optimization.

2. Change Management and Client Engagement

• Assess organizational readiness for change and design tailored change management strategies.
• Implement structured approaches to ensure seamless adoption of new solutions.
• Utilize multiple communication channels to align stakeholders, mitigate resistance, and maximize solution impact.

3. Team Leadership and Mentorship

• Establish a clear vision for the team, aligning objectives with project and organizational goals.
• Provide training in Python, SQL, Dagster, Databricks, and related big data technologies.
• Recognize and reward high performance while fostering a culture of innovation and continuous improvement.

4. Organizational Contribution

• Actively contribute to unit-level and organizational initiatives aimed at process improvement and technology adoption.
• Promote cutting-edge data engineering methodologies and champion the adoption of proven best practices across teams and projects.

Additional Responsibilities

• Maintain expertise in software configuration management systems to ensure seamless deployment and version control.
• Apply business acumen and cross-industry thought leadership to offer strategic insights to clients.
• Stay informed about emerging technologies and industry trends in big data, analytics, and cloud computing.
• Apply logical thinking and problem-solving skills to deliver innovative yet practical solutions.
• Demonstrate working knowledge in two or three industry domains for contextually relevant solution design.
• Understand the financial processes for different project types, including various pricing models.
• Exhibit strong client interfacing skills for building trust-based relationships.
• Apply SDLC and agile methodologies to ensure efficient, high-quality project delivery.
• Manage projects and teams to meet deadlines, budgets, and quality benchmarks.

Technical and Professional Requirements

Core Skills:

• Python: Strong programming capabilities for data processing, automation, and analytics solutions.
• SQL: Expertise in designing, querying, and optimizing relational databases for performance and scalability.
• Dagster: Proficiency in orchestrating data pipelines and managing workflows efficiently.
• Databricks: Hands-on experience with cloud-based big data analytics, Spark-based processing, and collaborative data science.

Preferred Skills:

• Big Data – All: Comprehensive understanding of big data frameworks, ETL design, and distributed computing.
• Experience with data lakes, data warehouses, and modern data architectures.
• Familiarity with CI/CD pipelines, version control (Git), and DevOps practices for data engineering.

Why This Role is Exciting

1. Lead High-Impact Data Projects

You will be at the forefront of delivering data-driven solutions that directly influence client strategy and decision-making.

2. Work with Cutting-Edge Tools

Leverage industry-leading technologies like Python, SQL, Dagster, and Databricks to design innovative data pipelines and analytics platforms.

3. Global Client Exposure

Collaborate with some of the world’s leading organizations across industries, tackling diverse and complex business challenges.

4. Career Advancement

This role offers a pathway to senior leadership and specialized architecture positions in data engineering, AI/ML integration, and enterprise analytics strategy.

Ideal Candidate Profile

The ideal candidate is a data engineering leader with the ability to bridge technical expertise and business strategy. You should have:

• Proven experience in large-scale data solution delivery.
• Strong collaboration skills for working across multidisciplinary teams.
• A passion for continuous learning and adopting emerging data technologies.
• Adept at applying strategic insight to transform business needs into effective, high-value technical solutions.

About the Technologies

Python – A versatile programming language essential for data analysis, automation, and building scalable data engineering solutions.

SQL – The foundation of structured data management, enabling efficient storage, querying, and reporting.

Dagster – An open-source data orchestrator that streamlines the development, production, and observability of data pipelines.

Databricks – A unified analytics platform that accelerates data engineering, data science, and machine learning workflows at scale.

When used together, these technologies empower organizations to harness their data assets for predictive analytics, business intelligence, and innovation.

Career Path and Future Prospects

This role offers the potential to grow into:

• Data Engineering Lead
• Big Data Architect
• Cloud Data Platform Architect
• Director of Data Strategy

Given the exponential growth in big data adoption worldwide, expertise in Python, SQL, Dagster, and Databricks ensures long-term career relevance.

Application Process

Interested candidates should prepare a resume highlighting:

• Experience in Python, SQL, Dagster, and Databricks projects.
• Achievements in data architecture and analytics implementations.
• Leadership in consulting engagements and client relationships.
• Certifications in relevant big data and cloud platforms.

Applications can be submitted through the Infosys Careers Portal.

Conclusion

The Python, SQL, Dagster, Databricks Consultant role at Infosys Limited, Pune, offers a rare blend of technical depth, leadership opportunity, and global project exposure. You will lead transformative data initiatives, leverage the latest big data tools, and collaborate with world-class teams to deliver measurable business impact.

If you are ready to elevate your career in data engineering and analytics while shaping the future of digital transformation, Infosys provides the ideal platform for success.