
Data Engineering Specialist
9 hours ago
As a Data Engineering Specialist, you will design, develop, and maintain large-scale data systems to process and analyze massive datasets. You will work with distributed data processing and storage technologies like Apache Spark, Hadoop, and cloud platforms such as AWS/GCP/Azure.
This role requires expertise in developing efficient ETL pipelines using tools like Apache Beam, Airflow, or Databricks. You will collaborate with cross-functional teams to integrate data engineering solutions into business workflows.
To succeed in this position, you must stay up-to-date with industry trends, emerging technologies, and best practices in data engineering.
Key Responsibilities
- Design and implement large-scale data systems for processing and analyzing massive datasets.
- Develop expertise in distributed data processing and storage using technologies like Apache Spark, Hadoop, and cloud platforms.
- Create efficient ETL pipelines leveraging tools such as Apache Beam, Airflow, or Databricks.
- Collaborate with cross-functional teams to ensure smooth integration of data engineering solutions into business workflows.
Required Skills and Qualifications
- Proficient in Python (including popular libraries like Pandas, NumPy) and SQL.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud-based development (AWS, GCP, Azure) and knowledge of DevOps practices.
Nice to Have
- Experience with Azure Databricks, Terraform, and GitHub Actions for pipeline orchestration.
- Certifications in Databricks, Azure, AWS, and GCP are highly preferred.
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