Azure & Big Data Engineer

4 days ago

Delhi NCR Pune, India Iris Software Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job description:

Iris Software has been a trusted software engineering partner to several Fortune 500 companies for over three decades. We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements.

Title- Azure & Big Data Engineer

Location- Noida/Gurgaon/Pune

Notice: 15 Days OR Immediate joiners only

Mode- Hybrid

Shift: 1:00 PM- 10:00 PM IST

Job Summary:

We are seeking a highly skilled and experienced Lead Data Engineer to join our data engineering team. The ideal candidate will have a strong background in designing and deploying scalable data pipelines using Azure technologies, Spark, Flink, and modern data lakehouse architectures. This role demands hands-on technical expertise, leadership in managing offshore teams, and a strategic mindset to drive data-driven decision-making across financial and regulatory domains.

Key Responsibilities:


• Design, develop, and deploy scalable batch and streaming data pipelines using PySpark, Flink, Scala, SQL, and Redis.

• Lead migration of complex on-premise workflows to Azure cloud ecosystem (Databricks, ADLS, Azure Data Factory), optimizing infrastructure and deployment processes.

• Implement performance tuning strategies to reduce job runtimes and enhance data reliability, including optimization of Unity Catalog tables.

• Collaborate with product stakeholders to deliver high-priority data features and ensure alignment with business goals.

• Manage and mentor an 8-member offshore team, fostering best practices in data engineering and agile development.

• Conduct internal training sessions on modern data architecture, cloud-native deployments, and data engineering best practices.

Certifications (Good to have):


• Databricks Certified: Data Engineer Associate, Lakehouse Fundamentals

• Microsoft Certified: Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900)

Preferred Qualifications:

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