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Big Data Engineer
3 months ago
Job Description :
Primary & mandatory :
PYSPARK
Secondary :
GCP
- At least 5 years of experience in Big Data, Hadoop Data Platform (HDP) and ETL and capable of configuring data pipelines.
- Possess the following technical skills
- SQL, Python, Pyspark, Hive, Unix, ETL, Control-M (or similar)
- At least 2 years of experience in Cloudera Data Platform (CDP)
- Skills and experience to support the upgrade from Hadoop to Cloudera.
- Good knowledge of Industry Best Practice for ETL Design, Principles, Concepts.
- Data Extraction from Teradata, HIVE, Oracle, and Flat files
- Ability to work independently on specialized assignments within the context of project deliverables
- Take ownership of providing solutions and tools that iteratively increase engineering efficiencies.
- Design should help embed standard processes, systems and operational models into the BAU approach for endtoend execution of Data Pipelines
- Proven problem solving and analytical abilities including the ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose highlevel information into details and apply sound business and technical domain knowledge
- Communicate openly and honestly.
- Advanced oral, written and visual communication and presentation skills
- The ability to communicate efficiently at a global level is paramount.
- Ability to deliver materials of the highest quality to management against tight deadlines.
- Ability to work effectively under pressure with competing and rapidly changing priorities.
- Excellent communication skills & team player
