Data Engineering Expert

1 day ago


Mumbai, Maharashtra, India Orcapod Full time
About Orcapod

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 Range

We offer a competitive salary range of $140,000 - $170,000 per annum, depending on your level of experience and qualifications.

Data Engineer Job Description

As 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 Qualifications

To 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.
Preferred Skills

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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