Job Overview
We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will play a crucial role in designing, building, and maintaining scalable data pipelines and architectures. You will work closely with data scientists and analysts to ensure that our data infrastructure meets the needs of the organization. This position requires a strong understanding of big data technologies and cloud platforms, as well as proficiency in programming languages.
Responsibilities
- Design and implement robust data pipelines to process large volumes of data efficiently.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
- Develop and maintain ETL processes using tools such as Informatica or Talend.
- Utilize big data technologies, including Azure Data Lake, to store and manage data effectively.
- Write clean, efficient code in Python for data manipulation and analysis.
- Create RESTful APIs to facilitate seamless data integration across applications.
- Analyze complex datasets to derive actionable insights that drive business decisions.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Stay updated on industry trends and emerging technologies to continuously improve our data architecture.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or similar role with a strong portfolio of projects.
- Proficiency in big data technologies such as Spark and Azure Data Lake.
- Experience with ETL tools like Informatica or Talend is highly desirable.
- Strong programming skills in Python or Java; familiarity with VBA is a plus.
- Knowledge of analytics frameworks and methodologies for effective data analysis.
- Experience in developing RESTful services for application integration is preferred.
- Excellent problem-solving skills and the ability to work independently as well as part of a team.
- Strong communication skills to collaborate effectively with stakeholders across the organization.
Join us in shaping the future of our data capabilities while advancing your career in a supportive environment focused on innovation and growth!
Job Type: Part-time
Pay: $60.00 - $70.00 per hour
Expected hours: 10 – 20 per week
Compensation Package:
Schedule:
- Choose your own hours
- Weekends as needed
Education:
Work Location: Remote
