Hybrid IN-Manager_Data Engineer-- Data and Analytics_Advisory_Pan India at PwC

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 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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Responsibilities: 

About the role:

As a Junior/Senior Data Engineer, you'll be taking the lead in designing and maintaining complex data ecosystems. Your experience will be instrumental in optimizing data processes, ensuring data quality, and driving data-driven decision-making within the organization.

Responsibilities:

• Architecting and designing complex data systems and pipelines.
• Leading and mentoring junior data engineers and team members.
• Collaborating with cross-functional teams to define data requirements.
• Implementing advanced data quality checks and ensuring data integrity.
• Optimizing data processes for efficiency and scalability.
• Overseeing data security and compliance measures.
• Evaluating and recommending new technologies to enhance data infrastructure.
• Providing technical expertise and guidance for critical data projects.

Required skills & experience:

• Proficiency in designing and building complex data pipelines and data processing systems.
• Leadership and mentorship capabilities to guide junior data engineers and foster skill development.
• Strong expertise in data modeling and database design for optimal performance.
• Skill in optimizing data processes and infrastructure for efficiency, scalability, and cost-effectiveness.
• Knowledge of data governance principles, ensuring data quality, security, and compliance.
• Familiarity with big data technologies like Hadoop, Spark, or NoSQL.
• Expertise in implementing robust data security measures and access controls.
• Effective communication and collaboration skills for cross-functional teamwork and defining data requirements.

Skills:

• Cloud: Azure/GCP/AWS
• DE Technologies: ADF, Big Query, AWS Glue etc.,
• Data Lake: Snowflake, Data Bricks etc.,

Mandatory skill sets: 

· Cloud: Azure/GCP/AWS

· DE Technologies: ADF, Big Query, AWS Glue etc.,

· Data Lake: Snowflake, Data Bricks etc.

Preferred skill sets: 

· Cloud: Azure/GCP/AWS

· DE Technologies: ADF, Big Query, AWS Glue etc.,

· Data Lake: Snowflake, Data Bricks etc. 

Years of experience required: 

7-10 years 

Education qualification: 

BE/BTECH, ME/MTECH, MBA, MCA 

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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