Data Transformation Specialist
1 month ago
We are a leading recruitment agency specializing in data-related positions. Our team of experts helps connect talented professionals with top companies in the industry.
Job Title: Senior Data Architect
We are seeking an experienced Senior Data Architect to join our team. This role is perfect for individuals who enjoy working with large datasets and have expertise in designing and implementing scalable data systems.
Job Description:
Overview:
As a Senior Data Architect, you will be responsible for designing and implementing complex data systems that meet both functional and non-functional business requirements. You will work closely with cross-functional teams to identify areas for process improvements and implement efficiency gains through automation and optimization of data delivery.
Responsibilities:
- Design and implement scalable data architectures that meet business requirements.
- Develop and maintain ETL pipelines using PySpark, Airflow, and Terraform.
- Collaborate with data engineers to ensure high standards of data governance, quality assurance, and maintenance of data infrastructure systems.
- Maintain metadata and documentation for internal business users.
- Ensure adherence to best practices across database systems (e.g., collations, indices, database engines) to ensure performance and reliability.
Technologies:
- Programming Languages: Python, SQL
- Data Engineering: PySpark, Airflow, Terraform
- Cloud Platforms: AWS (primary), Azure, GCP
- Containerization: Docker
- Version Control & CI/CD: GitHub, Jenkins
Qualifications and Experience:
- Educational Background: BSc Degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent work experience).
- Experience: 5+ years of related work experience, including at least 2 years of experience in building and optimizing 'big data' data pipelines and maintaining large data sets.
- Technical Proficiency:
- Strong experience with Python and SQL (PostgreSQL, MS SQL).
- Hands-on experience with cloud services, particularly AWS (experience with Azure or GCP is a plus).
- Proficiency in ETL processes and data lifecycle management.
- Experience with Glue and PySpark is highly desirable.
- Skilled in version control, CI/CD pipelines, and GitHub.
- Data Management Expertise: Deep understanding of data quality assurance, data governance, and best practices for managing data transformation processes, metadata, and dependencies.
- Analytical Skills: Strong problem-solving abilities and experience working with unstructured datasets.
- Big Data: Familiarity with message queuing, stream processing, and working with highly scalable 'big data' stores.
- Attention to Detail: A meticulous eye for detail and a commitment to maintaining high-quality data systems.
- Communication: Strong communication skills and the ability to work collaboratively in a team.
Salary: The estimated salary for this position is $120,000 - $150,000 per year, depending on experience.
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