Senior Data Engineer / Data Analyst

Requirements:

• Specific skill mixes we need from the tech stack:

o Databricks AND (R or sparklyr) OR (Pyspark or Python)

o Databricks AND (Starburst OR Tableau)

o Databricks AND (Collibra OR Altreyx)

HANDS-ON Experience for the following:

• Databricks –Pyspark, Data Quality Framework, Building custom dashboards

• R/SparklyR - as a data analyst

• Pyspark/Python –with scripting and automation, performance tuning and debug capabilities

• Starburst - as a data analyst or Starburst developer or support engineer

• Collibra - as a Collibra developer or support engineer

• Alteryx – as a developer or support engineer

• Tableau – as a developer with performance tuning / debug capabilities

• Immuta – As a security analyst. Must have good Role Based and Attribute Based Security knowledge.

• Ability to perform involved, independent research and develop highly creative work products and proposals.

• Demonstrate a high degree of creativity in addressing problems/issues and opportunities.

• Demonstrated concentration on customer service orientation.

• Ability to work effectively in a highly matrix or virtual organization.

• Strong verbal and written communication skills with an ability to present/facilitate effective training sessions.

• Strong experience in Agile delivery, requirements engineering, backlog development and refinement.

• Strong experience in stakeholder engagement.

• Experience working with distributed teams, and providers of software solutions.

• Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions.

• Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira.

• Excellent analytical and design skills.

• CBAP, Agile Analysis Certification or similar certifications preferred.