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Role- Senior Data Engineer
Experience- 8-10 years
Location- Remote
Notice Period- Only Immediate joiners
Job Overview:
We are looking for an experienced Lead Data Engineer with 8-10 years of experience to join
the Professional Services team.
Key Responsibilities:
1. Data Integration and Management:
oLead initiatives for integrating, transforming, and managing large datasets.
oEnsure optimal data availability and performance.
2. Advanced SQL Queries:
oAnalyze and resolve data issues using complex SQL queries.
oProficient in writing ETL code.
3. Azure Data Factory:
oUse Azure Data Factory for orchestrating data workflows and pipelines.
oImplement cloud-based integration best practices.
4. Azure Pipelines Deployment:
oManage CI/CD pipelines to automate and streamline deployment processes.
5. Kubernetes Deployment:
oOversee deployment and management of data solutions in Kubernetes.
oEnsure application scalability, reliability, and security.
6. Python and Shell Scripting:
oDevelop scripts for data processing, automation, and system integration.
Qualifications:
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 8-10 years of experience in data engineering and configuration management.
• Expertise in SQL, data warehousing, and cloud environments, preferably Microsoft
Azure.
• Hands-on experience with Azure Data Factory, Azure pipelines, Kubernetes, Python,
shell scripting, and Snowflake or similar technologies.
• Experience with extensive datasets and ETL code development for data import.
• Immediate availability is preferred.
Job ID: 144182917