About this role
The team is seeking a Senior Data Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and maintaining data pipelines and architectures that support data analytics and business intelligence initiatives. You will work closely with data scientists and analysts to ensure data availability and reliability for decision-making processes.
Key Responsibilities:
- Design and implement scalable data processing systems and architectures.
- Develop and maintain ETL processes to extract, transform, and load data from various sources.
- Collaborate with cross-functional teams to understand data needs and provide solutions.
- Optimize data storage and retrieval processes for performance and efficiency.
- Monitor data quality and implement data governance practices.
- Document data processes and maintain technical documentation.
Required Skills & Qualifications:
- Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
- Strong programming skills in Python or Java.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of data warehousing solutions and data modeling techniques.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
The team provides a collaborative work environment, opportunities for professional growth, and the chance to work on innovative projects that make a difference. You will be part of a team that values creativity and encourages continuous learning.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.