Roles and Responsibilities :

- Design, develop, test, and deploy data pipelines using Airflow to integrate various sources of data from on-premise systems to cloud-based platforms like AWS, GCP, Microsoft Azure.
- Develop complex SQL queries to extract insights from large datasets stored in Snowflake, BigQuery, Amazon Redshift.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs through data integration projects.
- Troubleshoot issues related to data pipeline failures or errors in the ETL process.

Job Requirements :

- 5-10 years of experience in Data Integration Engineering with expertise in big data technologies such as Hadoop ecosystem (Hive), Spark.
- Proficiency in working with cloud-based platforms including AWS Glue, Google Cloud Platform's BigQuery etc. .
- Solid understanding of SQL programming language and ability to write complex queries for extracting insights from large datasets.

📌 Data Engineer -Data Integrations (Hyderabad)
🏢 Digitechserve
📍 Hyderabad