
Lead Azure Data Engineer Position
1 week ago
This is an exciting opportunity for a Lead Data Architect to design and implement large-scale data processing systems using advanced technologies such as Data Bricks, Azure Data Factory, and PySpark.
The ideal candidate will have a strong background in AWS, Azure, and SAP, with expertise in ELT, data modeling, and data integration & ingestion. Proficiency in GITHUB, Action, Azure DevOps, data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, and Redshift is necessary.
Key Skills:
- Hands-on experience with SonarQube and PyTest.
Candidate Requirements:
- Minimum 5+ years of experience as a BE/MCA graduate.
- Ready to work from home for a long-term contract role.
- Must have Azure Databricks certification.
- Able to join within 15 days.
Responsibilities:
- Design and implement large-scale data processing systems.
- Collaborate with cross-functional teams to deliver projects on time.
- Develop and maintain high-quality codebase.
- Identify and implement process improvements.
Requirements:
- BE/MCA degree.
- Minimum 5+ years of experience in Azure data engineering.
- Hands-on experience with Data Bricks, Azure Data Factory, and PySpark.
- Expertise in AWS, Azure, and SAP.
- Mastery over ELT, data modeling, and data integration & ingestion.
- Proficiency in GITHUB, Action, Azure DevOps, data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, and Redshift.
- Experience with SonarQube and PyTest.
Preferred Qualifications:
- Master's degree in Computer Science or related field.
- Cloud certifications (e.g., Azure, AWS).
Benefits:
- Work from home opportunities.
- Long-term contract roles.
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