Senior Data Engineer
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2. KNOWLEDGE & EXPERIENCE:
a. Required:
· 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.