Data Engineer

· 5+ years IT experience.

· 5+ years industry experience as a data engineer or related specialty (e.g., software engineer/developer, business intelligence developer, data science engineer) with a track record of manipulating, processing, and extracting value from large datasets.

· 3+ years of experience in scripting and optimizing advanced Oracle SQL & PL/SQL.

· 2+ years of experience in Snowflake, Relevant certifications in Snowflake or cloud platforms.

· 2+ years of experience with ETL tools; Proficiency with ETL tools such as IDMC / IICS, ODI, SSIS, Informatica. (IDMC / IICS and ODI preferred).

· Strong experience with UNIX/Linux scripts.

· Proficiency in at least one of the following languages: Python, R, Scala.

· Cloud platforms: Exposure with Cloud data solutions, architecture, and their interdependencies for BI & analytic use. Experience with Microsoft Azure & Snowflake DW is a plus.

· Hands-on experience or good knowledge to build data sources for Tableau.

b. Preferred:

· Experience in Snowflake and Oracle, Relevant certifications in Snowflake or cloud platforms.

· Experience in cloud-based data platforms and technologies.

· Understanding of Star schema data warehouse modeling using the Kimball Methodology.

· Experience in statistical, predictive modelling and machine learning techniques.

· Experience developing Oracle Application Express (APEX) applications.