Data Engineer
4 weeks ago
About Our Client
IT Services
Job Description
Develop and maintain ETL processes that convert raw data into useful formats, ensuring data quality and consistency.
Optimize data retrieval, develop dashboards, reports, and visualizations to aid in the understanding of data.
Implement best practices for data governance and data security.
Document data pipelines, architectures, and data sets to maintain a clear understanding of data flows and structures.
Work with cross-functional teams to troubleshoot and optimize performance issues in the data stack.
Mentor junior engineers, providing guidance and support for their projects and professional development.
The Successful Applicant
A successful Data Engineer candidate has a strong working knowledge of business trends and is able to read and analyze product, market, and share trends. You should have strong organizational, critical thinking, and communication skills.
Familiarity with business intelligence tools (e.g., Looker, Tableau) and methodologies.
Proficiency in a scripting language such as Python for data manipulation and automation.
Experience with data pipeline and workflow management tools (e.g., Airflow, dbt).
Strong proficiency with SQL and experience with relational databases and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
What's on Offer
If you are looking a challenging and fulfilling role in data and analytics, please do not hesitate to reach out
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