IN_Manager_Data Engineer (SQL,Python & Pyspark)_Data and Analytics_Advisory_Bangalore

Overview

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.


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:  

We are seeking experienced and passionate Snowflake Data Engineers to join our data engineering team. The ideal candidate will have strong expertise in Snowflake, SQL, Data Modelling, and DBT, along with exposure to modern data orchestration and cloud platforms.

Responsibilities: 

 

You will work on: · Design, develop, and optimize data pipelines and data models in Snowflake. · Implement and maintain DBT workflows for data transformation and modeling. · Write efficient and scalable SQL queries for data extraction and reporting. · Collaborate with data analysts, scientists, and business stakeholders to understand data requirements. · Integrate data from various sources using Python. · Orchestrate workflows using Apache Airflow or similar tools · Ensure data quality, integrity, and governance across the pipeline. · Work with CI/CD tools to automate deployment and testing of data workflows. · Optimize performance and cost of Snowflake workloads. · Leverage cloud services from Azure or GCP for scalable data solutions. Primary Skills: · Snowflake · SQL · Data Modelling · DBT (Data Build Tool) Secondary Skills: · Airflow (Workflow Orchestration) · Python (Scripting, Data Manipulation) · CI/CD (Git, Jenkins, Azure DevOps, etc.) · PL/SQL, Teradata (for legacy support) · Exposure to Azure or GCP cloud services (Data Factory, BigQuery, Storage, etc.)

Mandatory skill sets: 

Snowflake SnowPro Core certification

• 5 – 8 Years
  
  

• BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) 
  
  
  

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Master of Engineering, Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Microsoft Azure, Microsoft Azure Analytics Services

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date