Sr. Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Why Ryan
Hybrid Work Options
Award-Winning Culture
Generous Personal Time Off (PTO) Benefits
14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
Benefits Eligibility Effective Day One
401K with Employer Match
Tuition Reimbursement After One Year of Service
Fertility Assistance Program
Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service
Duties and Responsibilities aligned with Key Results:
People
- Use a variety of programming languages and tools to develop test and maintain data pipelines within the Platform Reference Architecture.
- Working directly with management product teams and practice personnel to understand their platform data requirements
- Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers co-workers and supervisors
- Developing and engaging with team members by creating a motivating work environment that recognizes holds team members accountable and rewards strong performance
- Fostering an innovative inclusive and diverse team environment promoting positive team culture encouraging collaboration and self-organization while delivering high quality solutions
Client
- Collaborating on an Agile team to design develop test implement and support highly scalable data solutions
- Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences
- Analyzing user feedback and activity and iterate to improve the services and user experience
Value
- Securing data in alignment with internal information and data security policies best practices and client requirements
- Creating and implementing robust cloud-based data solutions that scale effectively and provide powerful experiences for both internal teams and clients
- Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed elegantly coded and effectively tuned for performance
- Staying on top of tech trends experimenting with and learning new technologies participating in internal & external technology communities and mentoring other members of the engineering community
- Perform other duties as assigned
Education and Experience:
Bachelors and/or Masters degree in a related field.
- 7 years of experience developing data technologies.
- 7 years of experience deploying ETL solutions in production environments.
- 7 years of experience with cloud-based data services preferably in AWS or Azure.
- 7 years of experience developing Python Scala or similar solutions in a backend or data wrangling capacity.
- 7 years of experience in mixed Windows/Linux environments.
Additional Required Skills and Experience:
- Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis experience and judgment
- Fluency in one or more databases preferably relational and NoSQL is a plus.
- Experience with distributed data platforms is a plus.
- Exposure to AI/ML pipelines is preferred.
- Experience deploying monitoring and maintaining data pipelines in production environments
Computer Skills:
To perform this job successfully an individual must have intermediate knowledge of Microsoft Project Word Excel Access PowerPoint Outlook and Internet navigation and research.
Supervisory Responsibilities:
Requires supervisory responsibilities including training employees assigning work and assuring quality throughout any deliverables
Work Environment:
- Standard indoor working environment.
- Occasional long periods of sitting while working at computer.
- Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.
- Independent travel requirement: As Needed
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
With headquarters in Dammam, Kingdom of Saudi Arabia, Al Qaryan Group is a leading metal recycling, processing and trading company with strong regional and global presence. Founded in 1988, Al Qaryan Group has developed an extensive knowledge and expertise in the field of metal recyc ... View more
