This job will design, develop, and maintain data pipelines and architectures to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
Job Description
Essential Responsibilities
- Design and develop data pipelines for efficient data collection and processing.
- Build and maintain scalable data storage solutions.
- Ensure data quality and consistency through validation and cleansing processes.
- Implement data transformation techniques to prepare data for analysis.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
- Optimize data engineering processes for performance and reliability.
Expected Qualifications
- 1+ years relevant experience and a Bachelor s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
Position Overview We are seeking a motivated Data Engineer (CL5) to join our dynamic data team. This role is perfect for an experienced professional who thrives in collaborative environments and is passionate about building robust data solutions. Youll work closely with cross-functional teams to design, develop, and maintain scalable data pipelines and infrastructure that drive business insights and decision-making.
Key Responsibilities Data Pipeline Development - Design, build, and maintain efficient ETL/ELT pipelines to process large volumes of data
- Develop and optimize data workflows using modern data engineering tools and frameworks
- Ensure data quality, reliability, and performance across all data processing systems
- Monitor and troubleshoot data pipeline issues, implementing proactive solutions
Data Infrastructure & Modeling - Create and maintain data models that support analytics and reporting requirements
- Work with BigQuery and other cloud data platforms to optimize data storage and retrieval
- Implement data governance best practices and ensure compliance with data standards
- Collaborate on data architecture decisions and technical design reviews
Collaboration & Continuous Learning - Partner with data scientists, analysts, and business stakeholders to understand data requirements
- Participate in agile development processes and contribute to team planning and retrospectives
- Share knowledge and mentor junior team members
- Stay current with emerging data technologies and industry best practices
Required Qualifications Technical Skills - SQL Expertise Advanced proficiency in SQL for complex data manipulation, optimization, and analysis
- BigQuery Hands-on experience with Google BigQuery, including query optimization and cost management
- Programming Proficiency in Python or other scripting languages for data processing and automation
- ETL Knowledge Solid understanding of ETL concepts, tools, and best practices
- Data Modeling Experience with dimensional modeling, data warehousing concepts, and schema design
Professional Skills - 2-4 years of experience with 1+ years of relevant experience in data engineering or related field
- Strong problem-solving abilities and attention to detail
- Excellent communication skills and ability to explain technical concepts to non-technical stakeholders
- Experience working in collaborative, cross-functional team environments
Preferred Qualifications - Experience with cloud platforms (Google Cloud Platform, AWS, or Azure)
- Knowledge of data orchestration tools (Apache Airflow, Prefect, or similar)
- Familiarity with streaming data technologies (Apache Kafka, Pub/Sub)
- Experience with version control systems (Git) and CI/CD practices
- Understanding of data security and privacy principles
- Bachelors degree in Computer Science, Engineering, or related field
What Were Looking For Team Spirit & Collaboration - Genuine enthusiasm for working as part of a team
- Willingness to share knowledge and learn from others
- Positive attitude and constructive approach to problem-solving
- Ability to give and receive feedback effectively
Growth Mindset - Eagerness to learn new technologies and methodologies
- Adaptability to changing business requirements and technical landscapes
- Initiative to propose improvements and innovative solutions
- Commitment to personal and professional development
What We Offer - Opportunity to work with cutting-edge data technologies
- Collaborative and supportive team environment
- Professional development and learning opportunities
- Competitive compensation and benefits package
- Flexible work arrangements
