We are seeking a highly skilled Senior Data Engineer with 5+ years of experience in building scalable data solutions. The ideal candidate will have robust expertise in SQL, PySpark, ETL processes, Data Lakes, and the Azure data ecosystem.
Key Responsibilities
Design, develop, and maintain robust data pipelines using Python/PySpark
Build and optimize ETL workflows for large-scale data processing
Work with Azure services such as:
Azure Blob Storage
Azure Data Lake
Azure Data Factory
Azure Synapse Analytics
Ensure high performance and reliability of data systems
Collaborate with cross-functional teams to understand data requirements
Implement best practices for data governance, security, and quality
Use version control tools like Git and manage tasks via Azure DevOps or Jira
Provide technical guidance and mentorship to junior team members.
Drive design decisions and contribute to data architecture planning.
Required Skills & Experience
5+ years of experience with SQL
4+ years of hands-on experience in building data pipelines using Python/PySpark
4+ years of experience with the Azure ETL stack
Robust understanding of:
Data modeling
Distributed computing
Data warehousing concepts
Experience with code versioning tools (Git)
Familiarity with Agile tools such as Azure DevOps or Jira
Qualifications
Bachelor’s degree in:
B.Sc / BCA / B.Tech / B.E (any specialization)
Solid verbal and written communication skills
Reliable internet connection (for remote/hybrid roles)
Azure certifications are a plus
Preferred (Bonus) Skills
Experience with real-time data processing
Knowledge of CI/CD pipelines for data engineering
Exposure to big data technologies beyond Azure ecosystem
Provide technical guidance and mentorship to junior team members.
Drive design decisions and contribute to data architecture planning.
📌 Senior Data Engineer Ii Bengaluru
🏢 Inxite Out
📍 Bengaluru
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