IN_Associate_Data Engineer_Data and Analytics_Advisory_Pan India

PwC India; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

PwC India is looking for a Data Engineer to design and implement robust data systems and pipelines. The role involves mentoring junior engineers, optimizing data processes, and ensuring data quality and compliance.

The ideal candidate will possess strong expertise in cloud technologies and data governance, along with 2-4 years of practical experience in data engineering.

Qualifications

• Proficiency in designing and building complex data pipelines and data processing systems.
• Leadership and mentorship capabilities to guide junior data engineers.
• Strong expertise in data modeling and database design for optimal performance.
• Skill in optimizing data processes for efficiency and scalability.
• Knowledge of data governance principles ensuring quality, security, and compliance.

Responsibilities

• Architecting and designing complex data systems and pipelines.
• Leading and mentoring junior data engineers.
• 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.

Skills

Data modeling

Cloud (Azure, GCP, AWS)

Data processing systems

Data governance

Communication skills

Big data technologies (Hadoop, Spark, NoSQL)

Education

BE/BTECH, ME/MTECH, MBA, MCA

Tools

ADF

Big Query

AWS Glue

Snowflake

Databricks

Job description

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

• 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.

Mandatory Skill Sets

• Cloud: Azure, GCP, AWS
• Data Engineering Technologies: ADF, Big Query, AWS Glue
• Data Lake: Snowflake, Databricks

Preferred Skill Sets

• Cloud: Azure, GCP, AWS
• Data Engineering Technologies: ADF, Big Query, AWS Glue
• Data Lake: Snowflake, Databricks

Years of Experience Required

2-4 years

Education Qualification

BE/BTECH, ME/MTECH, MBA, MCA

Equal Employment Opportunity Statement

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.