Data Analytics

Job Description:

5 Years' Experience

- Bachelor's degree in computer science, decision support systems (DSS), information engineering, business administration, or other related discipline. Masters degree in a related discipline is a plus.

- Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions

- Experience in design, development and tuning industry leading ETL, Big Data, and/or Business Intelligence software tools in data intensive, large scale environments.

- Must have hands-on Ab Initio ETL experience in a work (professional) setting.

- Good to have hands-on development experience with Hadoop and the Hadoop ecosystem including tools such as Hive, Spark, Spark Streaming, Kafka, Sqoop, Flume, etc.

- Strong SQL and data modelling skills like 3rd normal form and dimensional modelling

- Strong DB2/or any relational database, Java, and UNIX skills

- Understanding of newer or emerging trends such as Big Data, Columnar databases, No

SQL, Hadoop, Map Reduce, social media, data visualization, XML, and unstructured text is a plus.

The responsibilities include, but not limited to:

- Coordinate with Enterprise Big Data Platform development and Data Product teams to understand the requirement

- Coordinate with Big Data, Ab Initio Admin, Data Architecture, and Data Analyst teams to develop and implement the Ab Initio solution

- Develop generic solutions using Ab Initio for new data integration requests

- Analyze and investigate data quality issues reported by Data Product teams

- Coordinate with Development and Prod Support team to investigate and address production issues

- Support releases by validating the data after deployments, as needed

Additional Skills:

- Excellent written and verbal communication

- Good to have hands on experience with CI/CD (Jenkins)

- Developing generic framework and automation
This is a hybrid role and the developer will be engaged in new development and operational tasks