We are looking for a Lead/Senior Data Engineer for our client project. The project focuses on migrating data from Tableau to PowerBI and AWS to GCP, enabling advanced analytics and preparing for AI/ML capabilities, an Analytics Sandbox, and other innovative initiatives.Key Responsibilities:Lead the support team at the 3rd level of support.Write and manage complex SQL queries to extract and model data across multiple databases.Set up and manage data pipelines to extract, transform, and load data
We are looking for a Lead/Senior Data Engineer for our client project. The project focuses on migrating data from Tableau to PowerBI and AWS to GCP, enabling advanced analytics and preparing for AI/ML capabilities, an Analytics Sandbox, and other innovative initiatives.Key Responsibilities:Lead the support team at the 3rd level of support.Write and manage complex SQL queries to extract and model data across multiple databases.Set up and manage data pipelines to extract, transform, and load data efficiently from a variety of sources.Implement and maintain data models, ensure data quality, and resolve any data-related issues.Troubleshoot issues, perform root cause analysis, and implement improvements.Collaborate with stakeholders, ensuring clear communication and handling support tasks when necessary.Must-Have Skills:Strong SQL skills: Ability to write/read complex SQL queries.Experience in BigQuery (preferred) or other DWH tools like RedShift or Snowflake.Experience with data transformation tools like Dataform (preferred) or dbt.Proficiency with GCP (Google Cloud Platform) and its services.Experience with version control using Git.Upper-Intermediate English proficiency, enabling clear business communication.Excellent soft skills, with a readiness to communicate with stakeholders and handle 24/7 support (2x per week).Nice-to-Have Skills:Familiarity with JavaScript, Python, and Java.Experience leading a team.Prior experience working in a support environment.Requirements:5+ years of experience as a Data Engineer.Strong database solutions and design experience.Knowledge of ETL concepts and the development lifecycle.Proficient in Python and familiar with data migrations in GCP.If you are passionate about data migration and ready to make a significant impact on a prestigious project, we encourage you to apply and help drive this exciting transformation.Working Conditions:Support schedule: Twice per week, 24/7 availability.Work Hours: 10 am - 7 pm (UA Time).
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