SR.DATA ENGINEER, SMAI(GCP, Spark, ETL, Snowflake)
1 month ago
Understand the Business Problem and the Relevant DataMaintain an intimate understanding of company and department strategyTranslate analysis requirements into data requirementsIdentify and understand the data sources that are relevant to the business problemDevelop conceptual models that capture the relationships within the dataDefine the data-quality objectives for the solutionBe a subject matter expert in data sources and reporting options
Architect Data Management Systems
Use understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.)Design and implement optimum data structures in the appropriate data management system (Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirementsPlan methods for archiving/deletion of informationDevelop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of DataIdentify and select the optimum methods of access for each data source (real-time/streaming, delayed, static)Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data modelDevelop processes to efficiently load the transform data into the data management system
Prepare Data to Meet Analysis Requirements
Work with the data scientist to implement strategies for cleaning and preparing data for analysis (, outliers, missing data, etc.)Develop and code data extractsFollow standard methodologies to ensure data quality and data integrityEnsure that the data is fit to use for data science applications
Qualifications and Experience:
4-7 years of experience developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutionsAbility to work with multiple operating systems (, MS Office, Unix, Linux, etc.)Experienced in developing ETL/ELT processes using Apache Ni-Fi and SnowflakeSignificant experience with big data processing and/or developing applications and data sources via Hadoop, Yarn, Hive, Pig, Sqoop, MapReduce, HBASE, Flume, etc.Understanding of how distributed systems workFamiliarity with software architecture (data structures, data schemas, etc.)Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL.Strong mathematics background, analytical, problem solving, and organizational skillsStrong communication skills (written, verbal and presentation)Experience working in a global, multi-functional environmentMinimum of 2 years’ experience in any of the following: At least one high-level client, object-oriented language (, C#, C++, JAVA, Python, Perl, etc.); at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.); one or more Data Extraction Tools (SSIS, Informatica etc.)Software developmentAbility to travel as needed
Education:
degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or related field of study.degree preferred.
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