Manager, Data Engineer

Responsibilities:

• Lead complex client engagements in data engineering and analytics.
• Advise senior stakeholders on data strategy and architecture.
• Architect and implement enterprise-scale data platforms.

Requirements:

• 8+ years of experience in data engineering or analytics consulting.
• Deep hands-on experience with Python, SQL, Spark, and Databricks.
• Expertise in cloud platforms such as Azure, AWS, and Snowflake.

Benefits:

• Competitive base salary with bonus programs.
• Paid vacation (3–4 weeks depending on level).
• Flexible work arrangements and hybrid work environment.