Senior Engineer, Data Engineering

Skills required-

Leadership qualities and ability to lead a team of 8 data engineers + PowerBI resources

Should be able to engage with business users and IT to provide consultation on data and visualization needs

Excellent communication, articulation, and presentation skills

Exposure to data architecture, ETL architecture

Design, develop, and maintain scalable data pipelines using Python, ADF, and Databricks

Implement ETL process to extract, transform, and load data from various sources into Snowflake

Ensure data is processed efficiently and is made available for analytics and reporting

8+ years of experience in data engineering, with a focus on Python, ADF, Snowflake, Databricks, and ETL processes.

Proficiency in SQL and experience with cloud-based data storage and processing.

Strong problem-solving skills and the ability to work in a fast-paced environment

Experience with Agile methodologies and working in a collaborative team environment.

Certification in Snowflake, Azure, or other relevant technologies is an added advantage

Bachelor's degree in computer science engineering, Information Systems, or equivalent field

Mandatory skills - Python, Snowflake, Azure Data Factory, Databricks, SQL