In_senior Associate_ Snowflake Senior Data Engineer_data And Analytics_advisory_bangalore

Senior Associate, Data, Analytics & AI

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.

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 programs, 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.

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.

A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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:

• Developing and optimizing Snowflake solutions for performance and scale
• Writing, tuning, and troubleshooting complex SQL queries and stored procedures
• Creating modular Python scripts (Pandas, NumPy) for automation & data transformation
• Designing efficient data models and database structures
• Building reliable batch & near real-time ETL pipelines
• Optimizing large datasets for speed and cost efficiency

What we are looking for:

• 5+ years in Snowflake data engineering
• Expert-level SQL with strong performance tuning skills
• Strong Python skills for automation & transformation
• Good understanding of data modeling and database design
• Mandatory: Snowflake SnowPro Core certification
• Nice to have: Exposure to DBT for data transformations
• Analytical mindset with strong problem-solving ability

Mandatory skill sets:

• Snowflake SnowPro Core certification

Preferred skill sets:

• Exposure to DBT for data transformations
• Analytical mindset with strong problem-solving ability

Years of experience required:

• Experience: 5+ years
• Education qualification: BE, B.Tech, ME, M.Tech, MBA, MCA (60% above)

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

Degrees/Field of Study preferred:

Required Skills: Microsoft Azure, PySpark

Optional Skills: 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, 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}