IN_Senior Associate_ Azure_Data and Analytics_Advisory_Bangalore

PwC India; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

PwC India is seeking a data engineering professional to design and build data infrastructure for analytics, focusing on scalable pipelines and data integration for client solutions.

You will work with big data technologies, AWS, Spark, and Python/Scala, contributing to data governance, performance tuning, and robust data processing in a collaborative environment.

Qualifications

• Experience with 5-8 years in data engineering / big data roles.
• Proficient in SQL, Python/Scala, Spark, and AWS.
• Strong knowledge of data pipelines, ETL and data integration.

Responsibilities

• Working knowledge on big data technologies, Cloud AWS.
• Excellent working knowledge on SQL.
• Proficient with Spark and Python/Scala.
• Experience with Kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog.
• Experience with Snowflake is a plus.
• Experience with CI/CD in conjunction with Github.

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.

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.

Job Description & Summary: A career within…

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.

Responsibilities

• Working knowledge on big data technologies, Cloud AWS
• Excellent working knowledge on SQL
• Proficient with spark and any one or both programming language e.g. Scala and/or Python
• Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog
• Experience with snowflake will be a big positive
• Experience with CI/CD framework implementation in conjunction with any popular code repository like Github

Mandatory skill sets

• Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora PostGres, Lambda, Kinesis, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Scala, Python, NIFI, SQL

Preferred skill sets

• Snowflake

Years of experience required

5-8yrs

Education qualification

B.Tech / M.Tech / M.E / MCA/B.E

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)

Optional Skills

• Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, 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, Data Pipeline {+ 27 more}