Minimum Years of Experience: 8Years Must Have 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 Data bricks · 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 – Bit Bucket/GitHub, Jenkins, Nexus etc. · Knowledgeable managing structured and unstructured data types. Nice to Have Skills: · Experience in working with a team of data engineers working from different locations in different time zones. · Excellent communication. · Effective prioritization. · Pragmatic stakeholder management. Cloud Platform Familiarity: Understanding of cloud services (AWS, Azure, GCP) to analyze and optimize cloud-based systems. · Basic Scripting Knowledge: Ability to write simple scripts in Python, SQL, or R for data extraction, transformation, and analysis.
