Data Engineer

Data Engineer

Experience

• 5+ years of hands-on experience in

  data engineering

  .
• Strong experience with:

• Snowflake

  or similar cloud data warehouses.

• Airflow

  or other orchestration tools.

• SQL and Python

  .
• Strong hands-on experience in building transformation pipelines using

  python, Airflow and Snowflake Stored procedures

• Write optimized SQL and Python scripts for data manipulation and ETL processes.
• Maintain data quality, observability, and pipeline reliability through monitoring and alerting.
• Hands-on experience with

  AWS, Azure, or GCP services.

• Good understanding of data architecture, security, and performance tuning.
• Familiarity with version control (e.g., Git), CI/CD tools, and agile workflows.

Key Responsibilities

• Design, develop, and maintain batch and streaming data pipelines to load DataMart’s.
• Implement scalable data transformations using Snowflake stored procedures and orchestrate workflows via Airflow or equivalent tools.
• Integrate with data platforms such as Snowflake, ensuring efficient data storage and retrieval.
• Write optimized SQL and Python scripts for data manipulation and ETL processes.
• Maintain data quality, observability, and pipeline reliability through monitoring and alerting.
• Collaborate with analytics and business teams to deliver high-impact data solutions.
• Adhere to best practices for version control, documentation, and CI/CD in a collaborative environment.

Qualifications

• Bachelor’s degree in information technology or related field; or an equivalent combination of education and experience sufficient to successfully perform the key accountabilities of the job required.
• Experience with data ingestion and orchestration tools like Five Tran, Airflow, Python
• Exposure and good understanding of D365 ERP data
• Prior experience working in fast-paced product or analytics teams.