Azure Data Engineer - Informatica / Hive

Job Title : Data Engineer

Location : Hyderabad (Work from Office)

Experience : 5+ Years

Notice Period : Immediate / Last Working Day till 31st August (Serving Notice the Role :

We are looking for an experienced Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based big data solutions, preferably on Microsoft Azure. The ideal candidate will have strong expertise in ETL development, big data platforms, and performance optimization of large-scale datasets. This role demands hands-on technical skills with tools like Informatica, Apache Hive, HDFS, and Azure Data Lakehouse architectures, along with experience in scheduling and orchestration tools.

Key Responsibilities :

• Design, build, and maintain scalable and reliable data pipelines for analytics and business needs.
• Develop and optimize ETL workflows using Informatica.
• Work with big data platforms such as Apache Hive and HDFS for distributed data processing.
• Manage and optimize data storage solutions with Azure Data Lake and Lakehouse architectures.
• Collaborate with cross-functional teams to ensure data quality, governance, and security compliance.
• Implement performance tuning, data partitioning, and query optimization strategies for large datasets.
• Use workflow orchestration and scheduling tools such as Airflow, Control-M, or Azure Data Factory.
• Support DevOps and CI / CD practices for data pipelines and Skills & Experience :
• 5+ years of experience as a Data Engineer with hands-on expertise in :

1. Apache Hive, HDFS, and distributed data processing.

2. ETL development (preferably with Informatica).

3. Relational databases and data modeling for structured and semi-structured datasets.

4. Azure Data Lake and Lakehouse architecture.

(ref : hirist.tech)