Data Engineer - Manager
Data Engineer - Manager
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
The Ford Customer Service Division Technology (FCSD Tech) group is seeking a data engineer people leader. The ideal candidate will lead and mentor a team of data engineers designing and implementing scalable reliable data pipelines in a GCP environment. The ideal candidate will have 10 years experience including 8 years with SQL Python Teradata and GCP cloud services (BigQuery Dataflow etc.. Proven leadership and expertise in ETL processes data architecture and ensuring data quality and security are essential. Experience with big data tools (Spark Hadoop) a plus.
Responsibilities
- Lead a team of data engineers in gathering transforming and storing data through data acquisition metadata management data cleansing data transformation data distribution and data recovery/backup planning.
- Hire train and equip the team with the necessary tools skills and resources to meet the organizations data needs.
- Design and implement data architecture using specialized ETL tools such as Informatica and Hyperion considering longterm strategy and costeffectiveness.
- Develop and maintain scalable ETL data pipelines in a cloud environment moving data from various sources to the organizations data warehouse or data lake.
- Ensure data quality and accuracy by implementing data validation and testing processes adopting a data quality framework and performing code reviews.
- Manage data security to protect against unauthorized access or misuse ensuring compliance with relevant regulations such as GDPR and HIPAA.
- Collaborate with data scientists business intelligence developers and software developers to ensure data availability and accessibility for business decisions.
- Stay uptodate with the latest technologies and trends in data engineering and lead the implementation of innovative solutions and practices.
- Manage project timelines and mitigate risks to ensure timely delivery of highquality data engineering projects.
Qualifications
- Bachelors degree in computer science engineering or equivalent.
- 10 years of work experience including 8 years with SQL Python Teradata and cloud platforms (preferably GCP).
- Proven experience in leading a team and building data pipelines from scratch in a highly distributed and faulttolerant manner.
- Familiarity with a broad array of relational and nonrelational databases.
- Experience with GCP cloud services including BigQuery Cloud Composer Dataflow CloudSQL GCS Cloud Functions and Pub/Sub.
- Strong communication skills and the ability to work in a dynamic environment.
- Inquisitive proactive and interested in learning new tools and techniques.
- Familiarity with big data and machine learning tools and platforms including Apache Spark Hadoop and Kafka.
- Ability to guide and mentor the team.
Required Experience:
Manager
Employment Type
Full-Time
