Senior Data Engineer II

InXiteOut; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

InXiteOut is looking for a Senior Data Engineer in Bengaluru, India. The ideal candidate will have 5+ years experience in data engineering with strong skills in SQL, Python/PySpark, and the Azure data ecosystem. Responsibilities include designing data pipelines, optimizing ETL workflows, and collaborating with teams. A Bachelor's degree in relevant fields is required along with excellent communication skills. Azure certifications are a plus. This role offers opportunities for mentorship and leading design decisions.

Qualifications

• 5+ years of experience with SQL.
• 4+ years of hands-on experience building data pipelines using Python/PySpark.
• 4+ years of experience with the Azure ETL stack.
• Strong verbal and written communication skills.

Responsibilities

• Design, develop, and maintain robust data pipelines using Python/PySpark.
• Build and optimize ETL workflows for large-scale data processing.
• Ensure high performance and reliability of data systems.
• Collaborate with cross-functional teams for data requirements.

Skills

SQL

Python/PySpark

Data modeling

Data warehousing

Distributed computing

Education

Bachelor’s degree (B.Sc / BCA / B.Tech / B.E)

Tools

Azure Blob Storage

Azure Data Lake

Azure Data Factory

Azure Synapse Analytics

Git

Azure DevOps

Jira

Job description

Senior Data Engineer (Azure, PySpark, SQL)

Overview

We are seeking a highly skilled Senior Data Engineer with 5+ years of experience in building scalable data solutions. The ideal candidate will have strong 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
• Strong 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)
• Strong 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.