IN_Manager _Data Engineer_ Tax Technology_TRS_ Gurgaon 10C

Line of Service
Tax

Industry/Sector
Not Applicable

Specialism
Operations

Management Level
Manager

Job Description & Summary
At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions.

In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients.

*Why PWCAt 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:

You will be closely working with business team during requirement gathering and further collaborating with other teams to develop a solution.

• Hands-on designing, building, and maintaining Data Lake and Data Warehouse on AWS or Azure to support Data and AI/ML workloads.
• Should have a fair knowledge on Data storage, data security, data cataloging of data lake.
• Should have a fair knowledge on programming languages like Python, PySpark and SQL.
• Strong understanding of AWS cloud components like S3, Redshift, DMS, Glue, Athena, Airflow, EMR, NiFi and any ETL tool
• Should have experience of 8-10 years in data engineering and development.
• Should have experience of various data architecture patterns of Data Lake and Data warehouse
• Should have experience of various data modelling techniques, data design patterns, Star Schema etc.
• Should have exposure to internal working of various Reporting tools like Power BI, Quicksight etc.
• Ability to multitask across different tracks
• Proven experience in design, architecture review and Impact Analysis of Technical changes.
• Hands on knowledge on various cloud platforms like AWS.
• Proven experience in working with large teams
• Excellent presentation and communication skills
• Excellent Interpersonal Skills
• Highly self-motivated and eager to learn. Always watching out for new technologies and adopting appropriate ones for improving your productivity, as well as the quality & effectiveness of your deliverables.
• Should be able to do POCs on emerging technologies.
• Well versed with the emerging Technology Trends
• Working experience of Generative AI will be a big plus
• Any Data Engineer Certification would be an added advantage
  

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Engineering

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Relationship Building, Scenario Planning, Self-Awareness, Service Excellence, Statistical Analysis, Statistical Theory, Strategic Questioning {+ 6 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date