Data Engineer Manager

1 Month ago • 5-8 Years • Data Analysis

Job Summary

Job Description

As a Data Engineer Manager at PwC, you will leverage data to drive insights and make informed business decisions for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Responsibilities include utilizing advanced analytics techniques, focusing on business intelligence, Databricks platform, Pyspark, SQL, and Python. This role requires a total experience of 5-8 years, with at least 4 years of relevant experience.
Must have:
  • Proficiency on Databricks platform
  • Strong hands-on experience with Pyspark, SQL, and Python
  • Experience with Azure, AWS, or GCP cloud platforms

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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. "

Responsibilities

Requirements: 

  • Total Experience: 5-8 years with 4+ years of relevant experience 

  • Skills: 

  • Proficiency on Databricks platform 

  • Strong hands-on experience with Pyspark, SQL, and Python 

  • Any cloud - Azure, AWS, GCP 

Certifications (Any of the following): 

  • Databricks Certified Associate Developer for Spark 3.0 - Preferred 

  • Databricks Certified Data Engineer Associate 

  • Databricks Certified Data Engineer Professional 

Location: Bangalore 

 

Mandatory Skill Sets-

Databricks,Pyspark, SQL,Python, Any cloud - Azure, AWS, GCP

Preferred Skill Sets-

"Related Ceritfication - • Databricks Certified Associate Developer for Spark 3.0 - Preferred • Databricks Certified Data Engineer Associate • Databricks Certified Data Engineer Professional"

Years of Experience required

7 to 8 years

Education Qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 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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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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