Snowflake Data Engineer

Role:

Mandatory Skills:

Location (Hybrid) :

Budget:

Notice:

Experience:

Key Responsibilities:

• Design and develop

  ETL/ELT pipelines

  using

  Azure Data Factory

  ,

  Snowflake

  , and

  DBT

  .
• Build and maintain

  data integration workflows

  from various data sources to Snowflake.
• Write efficient and optimized

  SQL queries

  for data extraction and transformation.
• Work with stakeholders to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Maintain and enforce data quality, governance, and documentation standards.
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Must-Have Skills:

• Strong experience with

  Azure Cloud Platform

  services.
• Proven expertise in

  Azure Data Factory (ADF)

  for orchestrating and automating data pipelines.
• Proficiency in

  SQL

  for data analysis and transformation.
• Hands-on experience with

  Snowflake

  and

  SnowSQL

  for data warehousing.
• Practical knowledge of

  DBT (Data Build Tool)

  for transforming data in the warehouse.
• Experience working in

  cloud-based data environments

  with large-scale datasets.

Good-to-Have Skills:

• Experience with

  Azure Data Lake

  ,

  Azure Synapse

  , or

  Azure Functions

  .
• Familiarity with

  Python or PySpark

  for custom data transformations.
• Understanding of

  CI/CD pipelines

  and

  DevOps

  for data workflows.
• Exposure to

  data governance

  ,

  metadata management

  , or

  data catalog

  tools.
• Knowledge of

  business intelligence tools

  (e.g., Power BI, Tableau) is a plus.

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of experience in data engineering roles using Azure and Snowflake.
• Strong problem-solving, communication, and collaboration skills.