Senior Manager_Data Engineering_D&A_Advisory _Gurgaon

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

*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.

Responsibilities

 Design, develop, and maintain scalable data pipelines
and architectures using Spark, PySpark, and Python.
 Lead and manage a team of data engineers, providing
technical guidance, mentorship, and performance
management.
 Collaborate with cross-functional teams to understand
data requirements and deliver high-quality data
solutions.
 Ensure data quality, integrity, and security across all
data engineering projects.
 Implement best practices for data engineering,
including code reviews, testing, and documentation.
 Stay up-to-date with the latest industry trends and
technologies in data engineering and cloud
computing.
 Work closely with stakeholders to understand
business needs and translate them into technical
requirements.
 Manage project timelines, resources, and budgets to
ensure successful delivery of data engineering
projects.
Must-Have Skills:
 Strong experience with data engineering technologies,
particularly Spark, PySpark, and Python.
 Proven track record of designing and building scalable
data pipelines and architectures.
 Hands-on experience with data processing and
transformation.
 Strong understanding of data warehousing concepts
and ETL processes.
 Excellent problem-solving skills and the ability to
troubleshoot complex technical issues.
 Strong leadership and team management skills.
 Effective communication skills, both written and
verbal.
Good-to-Have Skills:
 Experience with cloud-native data engineering on
platforms such as Google Cloud Platform (GCP)
and/or Amazon Web Services (AWS).
 Familiarity with cloud services related to data storage,
processing, and analytics (e.g., BigQuery, Redshift, S3,
EMR).
 Knowledge of containerization and orchestration
technologies (e.g., Docker, Kubernetes).
 Experience with data visualization tools and

techniques.
 Familiarity with machine learning and data science
concepts.
Qualifications:
 Bachelor's or Master's degree in Computer Science,
Engineering, or a related field.
 10+ years of experience in data engineering or related
roles.
 3+ years of experience in a  managerial role.
 Industry certifications related to data engineering or
cloud platforms are a plus.

:

Mandatory skill sets

Spark, PySpark, and Python.

Preferred skill sets

Spark, PySpark, and Python.

Years of experience required

10+

Education qualification

Btech

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

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

PySpark

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date