
Expertise in Data Engineering
2 weeks ago
Job Title: Data Engineering Expertise
We are seeking an experienced Data Engineer to join our organization.
Key Responsibilities:
- Create scalable data processing systems using Python, SQL, and distributed computing technologies.
- Develop ETL pipelines with Apache Spark, Hadoop, and other relevant tools for production-ready environments.
- Implement cloud-based technologies such as Azure, AWS, and GCP to design and deploy data engineering solutions.
- Collaborate with cross-functional teams to ensure seamless integration of data engineering solutions with business applications.
- Maintain knowledge of emerging trends and technologies in data engineering to improve existing processes and systems.
Nice to Have:
- Experience with Azure Databricks, DevOps principles, and ETL pipeline orchestration using GitHub actions, Terraform, and Databricks workflows.
- Certifications in Databricks, Azure, AWS, and GCP.
- Knowledge of code version control using Git.
Requirements:
- 3-5 years of experience in data engineering.
- Proficient in Python, including popular packages like Pandas and NumPy.
- Strong background in distributed data processing and storage technologies.
- Understanding of data lake and data lake house patterns.
- Knowledge of ETL performance tuning and cost optimization.
What We Offer:
- A dynamic work environment that fosters innovation.
- Opportunities for career growth and professional development.
- A competitive compensation package.
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