Sr Associate_ Snowflake Senior Data Engineer_Data and Analytics

Job highlights

• Degrees / Field of Study required: Bachelor of Engineering,Master of Engineering . Certifications
• Required Skills . AWS Database Migration Service (DMS),Azure Database Migration Service .

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics AI

Management Level Senior Associate

Job Description Summary

At PwC, our 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.

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 , AWS Glue, Lambda, Step Functions and Python , along with exposure to modern data orchestration and cloud platforms.

Responsibilities:

• 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 AWS for scalable data solutions.

Primary Skills:

• Snowflake
• SQL
• Data Modelling
• Python (Scripting, Data Manipulation)
• AWS Glue, Lambda, Step Functions

Secondary Skills:

• Airflow (Workflow Orchestration)
• CI/CD (Git, Jenkins, Azure DevOps, etc.)
• PL/SQL, Teradata (for legacy support)
• DBT (Data Build Tool)

Mandatory skill sets:

Snowflake SnowPro Core certification

Analytical mindset with strong problem-solving ability

Years of experience required:

5 8 Years

Education Qualification

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 Engineering, Master of Engineering

Certifications

(if blank, certifications not specified)

Required Skills

AWS Database Migration Service (DMS), Azure Database Migration Service

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, 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.