Hiring Azure Data Engineers

Experience: 8+ Years

Location: Hyderabad

About the Role

We are looking for an experienced Data Engineer with 5+ years of experience in designing, developing, and optimizing enterprise-scale data solutions. The ideal candidate will have strong hands-on expertise in data engineering, cloud platforms, modern data architecture, and data pipeline development.

Key Responsibilities

- Design and implement modern data architectures across cloud and hybrid environments.
- Develop, optimize, and maintain scalable ETL/ELT pipelines for high-volume data.
- Lead data platform modernization initiatives using modern data engineering tools and frameworks.
- Design and implement scalable data solutions supporting BI, AI, analytics, and ML workloads.
- Define and implement data governance, security, compliance, and data quality standards.
- Translate business requirements into robust and scalable technical data solutions.
- Design and support real-time and streaming data architectures.




- Design and develop REST APIs, Azure App Services, and Azure PaaS solutions.
- Troubleshoot performance, scalability, and reliability issues across data platforms.

Required Skills & Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in Data Engineering or Data Architecture.
- Robust hands-on expertise in Python, SQL, Spark, Kafka, and Airflow.
- Experience with at least one major cloud platform: Azure, AWS, or GCP.
- Hands-on experience with Snowflake, Databricks, and/or Delta Lake.
- Strong understanding of data modelling, data governance, data quality, and data lineage.
- Experience with REST APIs, Azure App Services, and Azure PaaS is preferred.
- Knowledge of real-time/streaming data processing and distributed data architectures.

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