Senior Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 8 months ago
8-10 years
India
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 8 months ago
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Job Description

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:

  • Bachelors 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.

Skills

PythonData IntegrationData WarehousingEtlData ProcessingSnowflakeData EngineerSql

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