Background check process to be followed: Pre/Post/Hybrid
Post
Mode of Interview: Telephonic/Face to Face/Skype Interview
Skype & F2F
WFO / WFH / Hybrid
WFO
Any Certification (Mandatory)
No
Shift Time
General
Business travel required (Yes / No)
No
Job Description
Category
Essential for this role
Positive to have
Education and Qualifications
Bachelor or Master or Doctorate
degree in maths, statistics, computer
science, information management
Work Experience
- 5-8 years' experience working in Data Engineering and Data Warehousing.
Technical / Professional Skills
Please provide at least 3
- 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
Non-Technical / Soft Skills
- Experience in working with a team of data engineers working from different locations in different time zones.
- Excellent communication.
- Effective prioritisation
- Pragmatic stakeholder management.
Other Task-Specific Knowledge
- Proficient in Excel, Word, and PowerPoint.
- Ability to prioritise and manage to multipl
📌 Azzure Data Bricks Developer (Bengaluru)
🏢 Clifyx
📍 Bengaluru
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