IN_Senior Associate_Data Engineer Databricks_Data And Analytics_Advisory_Hyderabad

PwC; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC is seeking an experienced Data Engineer – Databricks to design, build, and operate scalable data pipelines on the Databricks Lakehouse Platform. You will work hands-on with Apache Spark, Delta Lake, and cloud-native services, collaborating with analytics, AI/ML, and business teams.

Senior Associate level role requiring 5–8 years of experience and a strong Databricks skill set. Candidates should have a Bachelor’s or Master’s degree in CS/Engineering, and familiarity with Agile environments.

Qualifications

• Databricks expertise with 4+ years as a Data Engineer.
• Hands-on experience with Apache Spark, PySpark, and Spark SQL.
• Strong knowledge of Delta Lake and Lakehouse architecture.
• Advanced SQL skills; ETL/ELT patterns; data warehousing concepts.
• Experience with at least one cloud platform (Azure/W AWS/GCP).
• Knowledge of distributed computing and Agile teams.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (PySpark/Spark SQL).
• Implement batch and incremental data processing with Delta Lake and multi-hop architecture.
• Develop and optimize Databricks notebooks, jobs, and workflows.
• Ingest, transform, and curate large-scale structured and semi-structured data.
• Support analytics, reporting, and downstream data consumption use cases.
• Ensure data quality, lineage, and governance; security compliance.

Skills

Databricks

Apache Spark

PySpark / Spark SQL

Delta Lake

SQL

ETL/ELT

Cloud Platforms (Azure/AWS/GCP)

Agile

Education

Bachelor's or Master's in CS/Engineering

Tools

Unity Catalog

Auto Loader

Job description

Job Description:

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary

We are seeking an experienced Data Engineer – Databricks to design, build, and operate scalable, high-performance data pipelines on the Databricks Lakehouse Platform. The role involves hands‑on development using Apache Spark, Databricks notebooks, Delta Lake, and cloud-native services, along with close collaboration with analytics, AI/ML, and business teams.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (PySpark/ Spark SQL)
• Implement batch and incremental data processing using Delta Lake and multi-hop architecture
• Develop and optimize Databricks notebooks, jobs, and workflows
• Ingest, transform, and curate large-scale structured and semi-structured datasets
• Support analytics, reporting, and downstream data consumption use cases
• Ensure data quality, reliability, lineage, and governance
• Collaborate with data scientists, analysts, and architects on AI/ML workloads
• Optimize Spark jobs for performance and cost efficiency
• Adhere to enterprise security, access control, and compliance standards
• Provide production support and troubleshoot data pipeline issues
• Document technical designs, data flows, and operational runbooks
• Mentor junior engineers and contribute to best practices

Mandatory skill sets

• 4+ years of experience as a Data Engineer with strong Databricks expertise
• Hands‑on experience with Apache Spark, PySpark, and Spark SQL
• Strong knowledge of Delta Lake and Lakehouse architecture
• Advanced SQL skills
• Experience with ETL/ELT patterns and data warehousing concepts
• Exposure to at least one cloud platform (Azure / AWS / GCP)
• Understanding of distributed computing concepts
• Experience working in Agile teams

Preferred skill sets

• Experience with Unity Catalog and data governance
• Exposure to Auto Loader or streaming frameworks
• CI/CD for data pipelines
• Python for data engineering and automation
• Databricks certification (Associate / Professional)

Years of experience required

5 to 8 years

Education qualification

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above)

Education

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Artificial Intelligence (AI), Machine Learning

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

Desired Languages

(If blank, desired languages not specified)

Job Posting End Date

May 15, 2026