Data Engineer Job Description
As a Data Engineer, you will play a key role in the organization's data strategy. You will be responsible for designing and developing scalable data pipelines, managing data warehouses, and implementing data integration solutions. You will also collaborate with cross-functional teams to understand data requirements and provide technical expertise in data management and optimization.
Responsibilities
- Design and develop scalable data pipelines to efficiently collect, process, and store large volumes of data
- Implement and maintain data integration solutions to ensure seamless data flow between systems
- Collaborate with data scientists and analysts to ensure data quality and integrity
- Optimize data infrastructure and provide performance tuning to enhance data processing efficiency
- Manage data warehouses and ensure data security and compliance
- Troubleshoot and resolve data-related issues and incidents
- Document data pipelines, processes, and systems for knowledge sharing and future reference
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proven experience as a Data Engineer or similar role
- Strong knowledge of data modeling, data warehousing, and ETL concepts
- Proficient in SQL and experience with relational databases
- Experience with big data technologies such as Hadoop, Spark, or Kafka
- Familiarity with cloud platforms, such as AWS or Azure
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
Skills
- SQL
- Data modeling
- ETL
- Relational databases
- Big data technologies (Hadoop, Spark, Kafka)
- Cloud platforms (AWS, Azure)
- Data visualization tools (Tableau, Power BI)
- Programming languages (Python, Java)