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Full time employee
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Remote
Remote
Project Description:
We are looking for a Senior Data Engineer to work on improving a SAAS platform for promoting, monitoring, and analytics of advertising in digital channels. actually, this is for the SBG project to help the team with the existing and new pipelines.
Responsibilities:
Design, develop, and optimize data pipelines and workflows within the Databricks platform. Take part in architecture discussions with engineering, product managers, and other data engineers to implement advanced analytics solutions that drive business insights. Build, optimize, and fine-tune Databricks workflows to improve performance and reliability. Work closely with relevant team members to ensure the quality of data. Ensure the integrity, accuracy, and security of data across all processing stages. Implement data ingestion from various sources into Databricks, ensuring data quality and reliability. Participate in daily Scrum ceremonies and collaborate with team members in the US and Europe with a required online presence. Act as a co-lead for the team.
We are looking for a Senior Data Engineer to work on improving a SAAS platform for promoting, monitoring, and analytics of advertising in digital channels. actually, this is for the SBG project to help the team with the existing and new pipelines.
Responsibilities:
Design, develop, and optimize data pipelines and workflows within the Databricks platform. Take part in architecture discussions with engineering, product managers, and other data engineers to implement advanced analytics solutions that drive business insights. Build, optimize, and fine-tune Databricks workflows to improve performance and reliability. Work closely with relevant team members to ensure the quality of data. Ensure the integrity, accuracy, and security of data across all processing stages. Implement data ingestion from various sources into Databricks, ensuring data quality and reliability. Participate in daily Scrum ceremonies and collaborate with team members in the US and Europe with a required online presence. Act as a co-lead for the team.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
5+ years of experience in the software development industry, preferably in data engineering, data warehousing or data analytics companies and teams.
at least 2+ years of experience with the DataBricks ecosystem.
Experienced in designing and implementing complex, scalable data pipelines/ETL processes using Databricks.
Skilled in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
Familiar with CI/CD practices, version control (Git), automated testing, and Agile environments.
Experience with the Agile development process in a distributed engineering team.
Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.
Experience working in US-led high-tech companies and startups.
Good communication and leadership skills
Nice to Have
DataBricks certifications
AWS DevOps, Developer or SA certifications
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