Description

Lead the design, development, and management of complex ETL processes and big data architectures. Own the release pipeline, optimize data movement, and guide the engineering team.

This role is on-site.

Responsibilities

• Design, develop, test, and optimize ETL code and stored procedures for data warehousing.
• Translate source-to-target mapping documents into functional ETL processes and APIs.
• Build and integrate Spark jobs using Scala or Java.
• Deploy machine learning solutions in the cloud and orchestrate jobs within Azure Databricks or Snowflake.
• Lead, train, and support team members in data engineering functions.

Required Skills

• 5+ years of experience in ETL development using Talend or Airflow.
• 5+ years of experience developing SQL queries, stored procedures, and views.
• 3+ years of experience coding in Python.
• 3+ years of experience in database administration.
• 3+ years of experience working with cloud solutions.
• Proficiency with Spark, Scala, and Big Data architectures.
• Experience with Azure, Python, and SQL.

Preferred Skills

• 3+ years of experience with Azure Databricks, Snowflake, or Redshift.
• Azure Data Factory certifications or advanced Azure certifications (Azure ML).

Key Skills

Education

Bachelor's degree in Computer Science