Data Solution Designer
2 weeks ago
Solid experience, knowledge and skills in Data Engineering(Global data warehousing), BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment.
- Proven experience in data modelling, analysis, and profiling
- Experience of working in diverse data domains.
- Continuous improvement and performance optimization practice ensuring high levels of performance, availability, and integrity.
- Proven consulting and mentoring experience.
- Experience in working within an Agile environment.
- In-depth understanding of data engineering practices and big data technologies.
- Hands on in SQL and its Big Data variants (Hive-QL, Snowflake ANSI, Redshift SQL).
- Python and Spark and one or more of its API (PySpark, Spark SQL, Scala), Bash/Shell scripting.
- Experience with Source code control - GitHub, VSTS etc.
- Knowledge and exposure to Big Data technologies Hadoop stack such as HDFS, Hive, Impala, Spark etc, and cloud Big Data warehouses - RedShift, Snowflake, Databricks etc.
- Experience with UNIX command-line tools.
- Exposure to AWS technologies including EMR, Glue, Athena, Data Pipeline, Lambda, etc.
**Job Types**: Full-time, Permanent
Pay: $150,000.00 - $170,000.00 per year
Schedule:
- 8 hour shift
Work Authorisation:
- Australia (required)
Work Location: In person
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