Sr. Data Engineer

Job Description The role of the Senior Data Engineer is to organize data from a number of data sources, integrate them and build capability to share the integrated data across the board ensuring data quality, integrity and security. The ideal candidate will possess: Work closely with various business and IT functions, understand key business needs and develop data solutions Design, and develop end to end data solutions/pipelines using both On-Premise and Cloud technologies delving into the detail level data architecture Build data solutions to integrate data from a variety of data sources and frequencies (batch and near real time) Works to improve the process, product and performance of data and BI landscape Collaborates with others to lead to the best solutions that fits the business needs and transform Pharmavites data organization in accordance with the Data Strategy and Roadmap Works closely with various functional teams to translate business requirements into optimized reporting systems and design, and develop appropriate data and presentation layers Develop strategies and standards to acquire, ingest, enrich, and publish data keeping data quality intact Build and implement data integration standards using ETL frameworks Develop multidimensional data repository implementing using Kimball's methodologies Create conceptual, logical and physical data model and de-normalize data as needed to create greater performance Collaborate with Pharmavites data analysts and provide clean data to integrate with their visualization and statistical models Successfully engage in multiple initiatives simultaneously. Minimum Qualifications: Education: A four-year college or university degree or equivalent work experience Experience: 7+ years of experience in the areas of data architecture, data engineering, data management, data warehousing, and data quality Solid understanding/experienceworking with Near-real Time (NRT), Batch, Change Data Capture (CDC), Data Lake, Columnar Database, REST API concepts Big Data or Data Lake technologies such as Spark, EMR, S3, Kafka, Hive, Apache Drill or equivalent Microsoft Azure technologies Well versed in using both ETL tools and Hands-on coding At least one ETL tool experience is required- i.e. Talend, Informatica, Snaplogic At least one programming language experience is required- i.e. Java, Scala, .C#.Net, Python Background in master data management, metadata management, information lifecycle design, and development Experience using relational and columnar databases (Oracle, MS SQL Server, AWS Redshift, MySQL, etc.) Experience in developing ETL/ELT process with various systems Desired: Experience working with ERP application(s) JD Edwards Enterprise One experience 5+ years of experience in a manufacturing/ Nutraceuticals/ Consumer Packaged Goods (CPG) company(s) Global application implementation/ supportexperience Experience creating Self Service BI is highly desired BI and Data Modeling tools experience- ERWin, MS Power BI, Tableau Knowledge/Skills/Abilities: Required: Knowledge of software development process (SDLC) from design, requirements gathering, analysis, deployment, testing methodologies, training, change management and production support. Knowledge of Agile methodology is a plus Knowledge of data modelling, cleansing, and enrichment techniques Business process modeling from enterprise to department level. Ability to interpret Entity Relationship Diagrams Excellent numerical and analytical skills with a knowledge of data analysis tools Solid understanding of data protection strategies and challenges Must possess project management skillset to facilitate and manage meetings, project plans, status reports, risk analysis, budgets, testing, resource management and task assignments An understanding of business and operational processes with the ability to translate business needs into concise requirements Strong customer service skills, organizational management and exceptional communication skills Ability to maintain a business perspective in the establishment of project priorities Ability to communicate (Oral/Written) effectively and coordinate action with all levels of the organization Highly organized with strong attention to detail Excellent written and verbal communication skills including presenting technical solutions to IT and business teams Deep understanding of building a modern data warehouse in cloud (working experience with at least one of the cloud stack, i.e. AWS, Azure, Oracle Cloud, etc.) or On-Premise stack like MapR  NR4269
Salary Range: NA
Minimum Qualification
8 - 10 years

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