
Leading Data Engineering Solutions
1 semana atrás
We are seeking a highly skilled data engineer to join our organization. This role involves designing, developing, and maintaining large-scale data pipelines and architectures.
- Develop scalable data engineering solutions using Databricks, Snowflake, SQL, and Terraform.
- Design and implement data pipelines and ETL/ELT workflows using DBT and Python.
- Collaborate with cross-functional teams to ensure data quality, security, privacy, and governance.
- Maintain and improve existing data systems to meet business requirements.
The ideal candidate will have:
- 8+ years of hands-on experience in data engineering with a proven track record of delivering scalable solutions.
- Strong expertise in SQL, including performance tuning and complex query development.
- Proven experience with Databricks or Snowflake in a production environment.
- Hands-on experience developing data pipelines and ETL/ELT workflows using DBT and Python.
- Solid understanding of data modeling techniques (e.g., 3NF, dimensional modeling).
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Familiarity with infrastructure-as-code tools like Terraform.
- Passion for data quality, security, privacy, and governance.
- Strong communication and problem-solving skills.
Preferred qualifications include mid-senior level experience, full-time employment, information technology job function, and IT services and consulting industries.
BenefitsThis role offers the opportunity to work on high-profile projects, collaborate with experienced professionals, and develop skills in emerging technologies.
How to ApplyInterested candidates should submit their resume and cover letter outlining their relevant experience and qualifications.
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