Senior Data Engineer

Overview:

The ideal candidate will have strong expertise in Data Analytics, SQL, Python, along with hands-on experience in ETL processes, Snowflake, and Databricks (preferred). This role involves working with large datasets, optimizing data pipelines, and contributing to business intelligence and analytics. Experience in stakeholder management is a plus.

Key Responsibilities:

• Design, develop, and maintain efficient ETL pipelines for data ingestion, transformation, and storage.
• Work with SQL and Python to process, analyze, and manage data.
• Develop and optimize data models and workflows in Snowflake and Databricks (good to have).
• Collaborate with data analysts and business teams to understand data needs and provide insights.
• Ensure data quality, integrity, and governance best practices.
• Utilize MS Excel for data manipulation and reporting.
• Engage with stakeholders to gather requirements and provide data-driven solutions (nice to have).

Qualifications:

• Strong expertise in SQL, Python, and MS Excel for data processing and analysis.
• Hands-on experience in Data Engineering, ETL processes, and analytics workflows.
• Experience with Snowflake and Databricks (preferred).
• Familiarity with data governance, security, and compliance best practices.
• Ability to work with stakeholders and cross-functional teams (nice to have).