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IN_Senior Associate_Snowflake_Data Analytics_Advisory_Bangalore

Pwc
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 6 days ago
SnowflakeSnowpipeSnowparkPythonJavaScriptSQL
Free

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Job Description & Summary

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.

A Snowflake Developer or Data Engineer is responsible for designing, building, and optimizing cloud-based data warehousing and analytics solutions using the Snowflake platform. Professionals in this role focus on data ingestion, ELT (Extract, Load, Transform) pipeline creation, query performance tuning, and ensuring strict data security and governance.

Responsibilities

  • Data Modeling & Architecture: Design and implement robust data models and schemas within Snowflake.
  • Pipeline Development: Build and maintain scalable data pipelines using Snowflake SQL, Snowpipe , Streams, Tasks, Python, or Snowpark.
  • Performance Optimization: Monitor and tune data warehouses, storage, and SQL queries for cost-efficiency and maximum speed.
  • Data Security & Governance: Implement Role-Based Access Control (RBAC), data masking, row-level security, and manage secure data sharing.
  • Integration: Work with cloud environments like AWS, Azure, or GCP and integrate Snowflake with third-party ETL/ELT tools (e.g., dbt , Airflow, Matillio n ).
  • Required Skills & Qualifications
  • Database & SQL Expertise: Deep understanding of relational databases, advanced SQL, and data warehousing principles.
  • Programming Languages: Proficiency in Python or JavaScript is typically required for advanced data transformations and scripting.
  • Cloud Experience: Hands-on experience with major cloud providers (AWS, Microsoft Azure, or Google Cloud Platform).
  • Experience Level: Depending on the specific role, positions typically require between 5 to 8 years of dedicated data engineering or Snowflake-specific experience
  • Mandatory skill sets:
  • S trong hands-on experience in Snowflake (mandatory)
  • Cloud: Azure (mandatory)
  • Programming: Python & SQL (mandatory)
  • Preferred skill sets:
  • Strong hands-on experience in Snowflake (mandatory)
  • Years of experience required:
  • 5 to 8 years
  • Education qualification:
  • B.E, B.Tech, MCA, M.E, M.Tech
  • Education (if blank, degree and/or field of study not specified)
  • Certifications (if blank, certifications not specified)

Optional Skills

  • Desired Languages (If blank, desired languages not specified)

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