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Salary
≈ $19k – $39k per year (Estimated)
Location
In office (Noida, Pune, Bengaluru, Hyderabad, Gurgaon)
Seniority
Senior · 7+ years exp

First seen by Alion on Sep 17, 2026.

Overview
Company
Impact
Profile match
Antino is a global AI-native services and technology consulting firm headquartered in Gurugram, India. Founded in 2019 by IIT Kharagpur alumni Vinay Krishna Gupta and Rajesh Kumar, the company specializes in digital product engineering, custom software development, and AI-driven business transformation.

Role Overview :

We are seeking a Senior Data Engineer to drive cloud data modernization and build scalable, AI-ready data platforms. This role emphasizes expertise in Databricks, PySpark, Azure Data Factory, Logic Apps, and Airflow, with a strong focus on orchestration, pipeline reliability, and end-to-end data workflow management.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines using Databricks (PySpark), ADF, Logic Apps, and Airflow

- Develop and manage end-to-end orchestration frameworks integrating Airflow DAGs with ADF and Logic Apps

- Implement advanced workflow orchestration patterns (event-driven, micro-batch, hybrid scheduling)

- Ensure pipeline dependency management, execution reliability, and operational excellence

- Build high-performance ETL/ELT pipelines using Databricks and Delta Lake architecture

- Implement data observability, monitoring, and alerting mechanisms across workflows

- Optimize pipelines and workflows for performance, scalability, and cost efficiency

- Integrate pipelines with Azure services such as ADLS Gen2, Blob Storage, and event triggers

- Implement CI/CD for pipelines and workflows using GitHub Actions or equivalent

- Ensure data quality, governance, and security compliance

- Collaborate with data science teams for ML/GenAI data readiness

- Mentor junior engineers and drive best practices for orchestration and pipeline design.

Required Qualifications :

- 7+ years of experience in data engineering

- Highly proficient in Databricks (PySpark, Delta Lake), Azure Data Factory (ADF), Azure Logic Apps, and Apache Airflow

- Exposure to AI/ML and Llm data pipelines and MLflow

- Strong programming skills in Python and advanced SQL

- Experience in building orchestrated data platforms with multi-tool integration

- Strong understanding of ETL/ELT patterns and orchestration frameworks

- Experience in cloud-native data architectures (Azure preferred)

- Hands-on experience with monitoring, logging, and pipeline reliability

Skills

Databricks, PySpark, Azure Data Factory, Apache Airflow, Python, Delta Lake, SQL, ETL, Logic App, Azure

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