Job Title: Data Engineer
Location: [City, State]
Type: Full-Time
Experience Level: 3-6 Years
Job Description
We are seeking a highly skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will collaborate with data scientists, analysts, and other engineers to ensure the reliable and efficient flow of data across the organization. The ideal candidate will have 3-6 years of experience in data engineering, with a strong background in ETL processes, data modeling, and working with large datasets.
Key Responsibilities
- Data Pipeline Development: Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to ingest, process, and store large datasets from various sources.
- Data Architecture: Build and maintain data architectures that support business intelligence, analytics, and machine learning initiatives.
- Data Integration: Integrate data from various sources, including APIs, databases, and third-party systems, ensuring data consistency and quality.
- Data Modeling: Develop and maintain data models that support business needs and ensure data accessibility and usability.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure and tools.
- Optimization: Optimize data pipelines and architectures for performance, scalability, and cost efficiency.
- Data Governance: Implement and enforce best practices for data governance, data security, and data quality management.
- Monitoring and Troubleshooting: Monitor data pipelines for issues and troubleshoot any problems that arise to ensure smooth and reliable data flow.
- Documentation: Document data pipelines, data models, and processes to ensure maintainability and knowledge sharing within the team.
Required Skills and Qualifications
- Experience: 3-7 years of professional experience as a Data Engineer or in a similar role.
- Technical Skills:
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Strong experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica).
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services (e.g., S3, Redshift, BigQuery).
- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Amazon Redshift).
- Experience with data modeling, schema design, and data architecture.
- Understanding of data security and governance best practices.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
- Communication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
Preferred Qualifications
- Experience with stream processing frameworks (e.g., Apache Kafka, Flink, or Spark Streaming).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience with NoSQL databases (e.g., MongoDB, Cassandra).
- Knowledge of machine learning workflows and MLOps.
- Certification in cloud platforms (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).
Why Join Us?
- Innovative Projects: Work on cutting-edge data engineering projects that drive business insights and decision-making.
- Career Growth: Opportunities for professional development, certifications, and career advancement.
- Competitive Compensation: Attractive salary, comprehensive benefits package, and performance-based bonuses.
- Collaborative Culture: Join a supportive and innovative team that values creativity, collaboration, and continuous improvement.
How to Apply:
If you are a passionate Data Engineer with a strong technical background and a drive to build scalable data systems, we would love to hear from you! Please submit your resume and a cover letter detailing your experience and why you would be an excellent fit for our team.
