8 - 13 years
25 - 30 Lacs
Posted:1 day ago|
Platform:
Work from Office
Full Time
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Why PWC
& 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 .
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 goverce 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 certificatio n
Preferred skill sets
Exposure to DBT for data transformations
Analytical mindset with strong problemsolving ability
Years of experience required
Experience 5 8 Years
Education Qualification
o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education
Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering, Bachelor of Technology
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, 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
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