Senior Data Engineer
Senior Data Engineer
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1 Vacancy
Job Description
Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform data pipelines and data governance policies this team provides the basis for decisionmaking in Adtalem. Adtalem is looking for a Senior Data Engineer who is a technical powerhouse who can scale our data platform to meet ever growing business needs.
- Work closely with various business IT Analyst and Data Science groups to collect business requirements.
- Design develop deploy and support high performance data pipelines both inbound and outbound.
- Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
- Optimize data pipelines for performance scalability and reliability.
- Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
- Ensure quality of critical data elements prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
- Document the design and support strategy of the data pipelines
- Capture store and socialize data lineage and operational metadata
- Troubleshoot and resolve data engineering issues as they arise.
- Develop REST APIs to expose data to other teams within the company.
- Mentor and guide junior data engineers.
- Establish and support automatic data quality evaluation process on data pipelines.
- Create and manage dashboards to publish data quality metrics.
- Engage business stakeholders to identify and rectify data quality issues.
- Complies with all policies and standards.
Qualifications :
- Bachelors Degree Computer Science Computer Engineering Software Engineering or other related technical field.
- Masters Degree Computer Science Computer Engineering Software Engineering or other related technical field.
- Two (2) plus years experience in Google cloud with services like BigQuery Composer GCS DataStream Dataflows.
- Six (6) plus years experience in data engineering solutions such as data platforms ingestion data management or publication/analytics.
- Expert knowledge on SQL and Python programming.
- Experience working with Airflow as workflow management tools and build operators to connect extract and ingest data as needed.
- Experience in tuning queries for performance and scalability.
- Experience in Real Time Data ingestion using GCP PubSub Kafka Spark or similar.
- Excellent organizational prioritization and analytical abilities.
- Have proven experience working in incremental execution through successful launches.
- Excellent problemsolving and criticalthinking skills to recognize and comprehend complex data issues affecting the business environment.
- Experience working in agile environment.
- Well versed in Data Quality Concepts (dimensions reporting workflows)
- Working knowledge of data quality tools such as IDQ or similar.
Additional Information :
In support of the pay transparency laws enacted across the country the expected salary range for this position is between $84835.61 and $149076.17. Actual pay will be adjusted based on jobrelated factors permitted by law such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.
Adtalem offers a robust suite of benefits including:
- Health dental vision life and disability insurance
- 401k Retirement Program 6% employer match
- Participation in Adtalems Flexible Time Off (FTO) Policy
- 12 Paid Holidays
For more information related to our benefits please visit:
You are also eligible to participate in an annual incentive program subject to the rules governing the program whereby an award if any depends on various factors including without limitation individual and organizational performance.
Equal Opportunity Minority / Female / Disability / V / Gender Identity / Sexual Orientation
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
