Data Engineer

Description:

Exp: 4-5 years’ experience working in Data Engineering and Data Warehousing

Technical / Professional Skills

• Hands On with advanced SQL, Python etc
• Hands On in data profiling
• Hands On in working on Cloud like Azure and Cloud DW like Databricks
• Hands On experience on Scheduling tools like Airflow, Control M etc
• Knowledgeable on Big Data tools like Spark (python/scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase)
• Knowledgeable in CICD processes – BitBucket/GitHub, Jenkins, Nexus etc
• Knowledgeable managing structured and unstructured data types.
• Knowledgeable in building Microservices, Rest APIs, Data as a Service architectures
• Knowledgeable in streaming frameworks (Kafka/Spark Streaming) is preferred