Description review
Big Data Consultant
HRTECH · Singapore · back to the listing
HR standards
37/100
poor
Title ↔ description
69/100
needs work
Reads as
Data Engineer
100% confident
How others title the same work
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What the listing never says
- 17 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Big Data Consultant
Singapore
Must Have
• Experience: Min 5 Years
• Must have good technical experience and should be able to understand and develop the modules and bring the task to closure on time.
• At least 4+ years of development work experience in Hadoop programming (HDFS) using PySpark/Scala/Java with Hive-based Data warehouse projects. And, with good Shell Scripting experience.
• Able to Understand the requirements and ingest the data into the Bigdata platform using Spark with HIVE.
• Should be able to write the SQL scripts and write few complex SQL Scripts to process the data with SCD handling exposure.
• Responsible for meeting the quality, and scope as per the project plans must be able to meet the stringent timelines.
• Flexible to work as per the regional timing.
• Excellent communication and documentation skills
• Very good at team playing and flexibility to work with the Offshore team in different time zones based on project needs.
• Willingness to do Certification in Databricks Certified Developer: Apache Spark 3. X
Nice to Have
• Autosys, Bit bucket, Jenkin, etc.
• Proactive, and have good communication skills to articulate technical issues.
• Exposure to is Confluence/JIRA
• Should be able to work independently Prior Experience to any Databases like Oracle/SQL Server/ETL will be an added advantage.
• At least 1+ years of Module Lead Experience
• Hands-on experience in data analysis and debugging the issues in SQL.
• Performance tuning the Hive QLs and the Cluster nodes Functional Testing Functional Test plan and execution experience.
Originally posted on Himalayas
Singapore
Must Have
• Experience: Min 5 Years
• Must have good technical experience and should be able to understand and develop the modules and bring the task to closure on time.
• At least 4+ years of development work experience in Hadoop programming (HDFS) using PySpark/Scala/Java with Hive-based Data warehouse projects. And, with good Shell Scripting experience.
• Able to Understand the requirements and ingest the data into the Bigdata platform using Spark with HIVE.
• Should be able to write the SQL scripts and write few complex SQL Scripts to process the data with SCD handling exposure.
• Responsible for meeting the quality, and scope as per the project plans must be able to meet the stringent timelines.
• Flexible to work as per the regional timing.
• Excellent communication and documentation skills
• Very good at team playing and flexibility to work with the Offshore team in different time zones based on project needs.
• Willingness to do Certification in Databricks Certified Developer: Apache Spark 3. X
Nice to Have
• Autosys, Bit bucket, Jenkin, etc.
• Proactive, and have good communication skills to articulate technical issues.
• Exposure to is Confluence/JIRA
• Should be able to work independently Prior Experience to any Databases like Oracle/SQL Server/ETL will be an added advantage.
• At least 1+ years of Module Lead Experience
• Hands-on experience in data analysis and debugging the issues in SQL.
• Performance tuning the Hive QLs and the Cluster nodes Functional Testing Functional Test plan and execution experience.
Originally posted on Himalayas