IN-Senior Associate- Databricks Data Engineer D&A Advisory Mumbai

Mumbai Shivaji Park, India

PwC

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Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

 *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 – Senior Associate - Databricks Data Engineer  

 

Responsibilities: 

 

  

Job Description:  

PwC India is seeking a Data Engineer with 3-4 years of experience to join our team in Mumbai. The ideal candidate will have extensive experience working with Databricks and a strong background in data engineering and management.  

 

Key Responsibilities:  

  • Design and develop scalable data pipelines on Databricks.  

  • Must be aware of medallion architecture- bronze/silver/gold.  

  • Implement best practices for data loading and transformation using PySpark.  

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

  • Optimize data processes for performance and efficiency.  

  • Perform data reconciliation and ensure data quality across all layers.  

  • Implement/support data governance features like data cataloging, data lineage etc using Databricks Unity Catalog.  

  • Deploy and monitor mlflow-suite-driven analytical models, design feature store, run end to end AI/MLOps in Databricks environment.  

  • Troubleshoot and resolve data-related issues.  

 

Qualifications:  

  • Bachelor's degree in Computer Science, Information Technology, or a related field.  

  • 3-4 years of experience in data engineering, with a focus on Databricks.  

  • Proficiency in PySpark and AWS cloud services.  

  • Strong understanding of data governance and data quality principles.  

  • Experience with orchestration and scheduling tools, such as AWS Step Functions/AzureADF and Databricks Workflows.  

  • Excellent problem-solving skills and attention to detail.  

  • Good communication skills and ability to work collaboratively in a team environment.  

  • Well versed with all latest features, services & offering of Databricks platform  

  

 

 

Mandatory skill sets: 

 

Databricks/PySpark/AWS 

 

Preferred skill sets: 

 

Databricks/PySpark/AWS 

 

Years of experience required: 

 

3-6 Years 

Education qualification: 

 

BE/BTech/MBA/MCA 

 

  

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Business Intelligence Computer Science Data analysis Data Analytics Databricks Data governance Data pipelines Data quality Data visualization DevOps Engineering MLFlow MLOps Pipelines PySpark Step Functions

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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