| ETL Data Engineer at Augusta, Georgia, USA |
| Email: [email protected] |
| From: Ryan, nitya software [email protected] Reply to: [email protected] Role: ETL Data Engineer Location: Augusta GA (100% Onsite) Need 100% commitment to work from Augusta GA location from Day 1 Skills Required (Mandatory) 10 to 14 years of experience Databricks, Snowflake End to End ETL pipeline implementation PySpark / Scala Data Governance, Data Lake PowerBI High Touch for Reverse ETL (good to know) Job Description: Design and develop scalable ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming). Responsible for testing and validation to support the accuracy of data transformations and data verification used with company-wide analytics. Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists. Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance. Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. Assist in ensuring proper data governance (quality, security, etc.) within the data lake and enterprise data warehouse systems across all business segments. Assist with performance-tuning data processes as well as troubleshooting data processing issues. Collaborate, coordinate, and communicate across disciplines, departments, and segments. Develop rapid prototyping and design processes for fast solution delivery to the business. Maintain reference architecture and documentation for the purposes of architectural governance and application roadmap. Assist in educating others on best practices surrounding data work (i.e., data modeling, database design, ETL design, job scheduling and monitoring, etc.). Ability to communicate effectively with different levels of leadership within the organization. What We are looking for: Bachelors degree in computer science, data science or a related field with eight (8) or more years of working as a data engineer, ETL developer and/or data warehouse DBA. Experience with Cloud data tools and architecture, including Snowflake, Databricks, Azure Data Factory, Data Lake, and Synapse. Experience with finance, operations, software firms, or supply chain. Experience with Analytic tools, such as Power BI, Tableau, or Cognos. Experience with traditional ETL tools such as IBM DataStage, SSIS, or Informatica Strong proficiency with SQL and Python. Experience in distributed architectures such as SOA, RESTful APIs, and data integration architectures. Experience designing and implementing big data and analytics solutions in financial services environment is Highly Preferred. Highly organized and detail-oriented, with strong critical thinking, analytical, and problem solving skills. Ability to handle multiple tasks in a fast-paced environment, both independently and as part of a team. Display excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leadership and peers Keywords: business intelligence Georgia |
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| Wed Feb 21 22:27:00 UTC 2024 |