Data Engineering Expert
1 day ago
Orcapod is a dynamic organization that thrives on innovation and cutting-edge technology. We're dedicated to pushing the boundaries of what's possible in data engineering, and we're looking for talented individuals like you to join our team.
Salary RangeWe offer a competitive salary range of $140,000 - $170,000 per annum, depending on your level of experience and qualifications.
Data Engineer Job DescriptionAs a Data Engineer at Orcapod, you will play a critical role in designing, building, and maintaining scalable and secure data pipelines using Azure cloud services. You will work closely with cross-functional teams to identify business requirements and develop solutions that meet those needs.
Required Skills and QualificationsTo be successful in this role, you should possess:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field;
- 3+ years of experience in data engineering or cloud-based data management;
- Strong proficiency with Azure cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, and Azure Blob Storage;
- Expertise in SQL and other data query languages;
- Hands-on experience with ETL processes, data integration, and automation;
- Knowledge of data modeling, data warehousing, and data pipeline design;
- Experience with scripting languages like Python, SQL, or Scala;
- Familiarity with big data technologies such as Spark, Hadoop, and related tools in the Azure ecosystem;
- Strong understanding of cloud-based security and compliance practices;
- Experience in version control systems like Git;
- Familiarity with agile methodologies and DevOps practices;
- Strong analytical and problem-solving skills with the ability to troubleshoot complex data-related issues.
If you have any of the following skills, it would be a bonus:
- Experience with data visualization tools like Power BI or Tableau;
- Knowledge of machine learning frameworks and AI tools in the Azure ecosystem;
- Experience with containerization and orchestration tools like Docker and Kubernetes;
- Familiarity with other cloud platforms such as AWS or Google Cloud;
- Experience in data governance, data privacy, and regulatory compliance.
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