Business Analyst

Software Developer
Bengaluru
March 18, 2026
Full Time
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Job Description

We are looking for a highly skilled Senior Data Engineer to design, build, and optimize enterprise data platforms and cloud-based data solutions. This role focuses on large-scale data integration, ETL/ELT pipelines, data warehousing, and analytics across multi-cloud environments (Azure, AWS, GCP).

You will work closely with business and technical stakeholders to deliver scalable, secure, and high-performance data systems.

Job Details

  • Role: Senior Data Engineer
  • Location: Bangalore (Work from Office)
  • Industry Type: IT Services & Consulting
  • Department: Engineering – Software & QA
  • Employment Type: Full Time, Permanent
  • Role Category: Software Development

Key Responsibilities

🔹 Data Engineering & Integration

  • Design and implement enterprise data platforms across relational and NoSQL databases
  • Build and optimize ETL/ELT pipelines using:
    • Azure Data Factory, Informatica, Apache NiFi, AWS Glue, Cloud Data Fusion
  • Develop data models and integration frameworks
  • Manage system configuration, upgrades, and performance tuning

🔹 Cloud & Data Warehousing

  • Build and maintain cloud data architectures on Azure, AWS, and GCP
  • Design and manage:
    • Data Lakes & Data Warehouses (BigQuery, Snowflake, Redshift)
  • Implement big data processing solutions using Hadoop, Spark, Databricks
  • Optimize performance and cost across cloud environments

🔹 Architecture & Governance

  • Support enterprise architecture standards and governance
  • Define system specifications and evaluate tools/technologies
  • Ensure compliance with security, audit, and regulatory requirements

🔹 Testing, Automation & DevOps

  • Test and debug SQL queries and ETL pipelines
  • Implement CI/CD pipelines and automation scripts
  • Support deployment and integration of new technologies

🔹 Monitoring & Support

  • Monitor system health, performance, and usage
  • Troubleshoot and resolve complex platform issues
  • Conduct root cause analysis and implement improvements
  • Maintain disaster recovery and business continuity plans

🔹 Leadership & Collaboration

  • Provide technical guidance to stakeholders
  • Mentor junior engineers and lead initiatives
  • Collaborate with distributed teams across time zones
  • Maintain detailed technical documentation

Required Skills & Experience

  • 5+ years of experience in data engineering and system integration
  • Strong expertise in:
    • SQL and data processing languages
    • Relational & NoSQL databases:
      • Azure SQL, MySQL, PostgreSQL, MongoDB, Cassandra
  • Hands-on experience with:
    • ETL/ELT tools and data integration frameworks
    • Cloud platforms (Azure, AWS, GCP)
  • Strong understanding of enterprise systems and architecture
  • Excellent analytical, troubleshooting, and communication skills

Preferred Skills

  • Experience with:
    • Power BI / ThoughtSpot
    • AI/ML data pipelines
    • Job scheduling tools like Stonebranch
  • Knowledge of DevOps and CI/CD practices
  • Relevant cloud certifications (Azure, AWS, GCP)

Tech Stack

  • Cloud: Azure, AWS, GCP
  • Databases: Azure SQL, MySQL, PostgreSQL, MongoDB, Cassandra
  • ETL Tools: Azure Data Factory, Informatica, Apache NiFi, AWS Glue
  • Warehousing: BigQuery, Snowflake, Redshift
  • Big Data: Hadoop, Spark, Databricks
  • Visualization: Power BI, ThoughtSpot
  • DevOps: CI/CD Pipelines, Automation Tools

What Success Looks Like

  • Scalable and secure enterprise data platforms
  • Optimized data pipelines and cost-efficient architectures
  • Proactive issue resolution and high system reliability
  • Delivery of accurate, timely, and actionable data insights
  • Strong mentorship and adherence to technical standards

Key Skills

Data Engineering, SQL, Azure, AWS, GCP, ETL, Data Warehousing, Big Data, Spark, Hadoop, Snowflake, Redshift, CI/CD, Data Lakes, Informatica.

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