Offer summary

Qualifications:

8+ years of experience as a Data Engineer or similar role., Strong expertise in data warehousing concepts and technologies, particularly with Snowflake., Proficient in SQL and experienced with ETL tools and processes., Bachelor's degree in Computer Science, Engineering, or a related field..

Key responsibilities:

Design and implement robust data architectures for data warehousing solutions.

Manage data integration processes and ensure data accuracy using Snowflake.

Collaborate with data scientists to deliver reliable data solutions and lead ETL development efforts.

Establish data governance measures and provide mentorship to junior data engineers.

Job description

Company Overview:

Team Geek Solutions is a forward-thinking technology company specializing in data engineering and analytics solutions. Our mission is to empower businesses to leverage their data for strategic insights and improved decision-making. We value innovation, teamwork, and excellence in our culture, and we are committed to providing our clients with cutting-edge solutions tailored to their needs.

Role Responsibilities:

Design and implement robust data architectures to support data warehousing solutions.
Develop complex SQL queries and optimize performance for large datasets.
Manage data integration processes using Snowflake, ensuring data accuracy and accessibility.
Collaborate with data scientists and analysts to understand data requirements and deliver reliable data solutions.
Lead ETL development efforts, ensuring best practices and performance optimization.
Conduct system performance tuning to enhance the operational efficiency of data pipelines.
Document data processes and architectural designs for reference and compliance.
Establish data governance and security measures to protect sensitive information.
Assist in the evaluation and implementation of new data technologies and tools.
Provide mentorship to junior data engineers and promote a culture of continuous learning.
Identify and troubleshoot data quality issues, implementing solutions as needed.
Participate in code reviews and provide constructive feedback to peers.
Work closely with stakeholders to align data engineering initiatives with business objectives.
Stay current with industry trends and best practices in data engineering.
Contribute to the development of best practices and standardized data engineering procedures.