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 contemporary data architectures across cloud and hybrid settings.
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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