ETL Design and Development experience using AbInitio ., Expert
Data Integration project experience on Hadoop Platform, preferably Cloudera., at least one project
some AWS cloud experience and exposure to MongoDB is a big plus
Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python)., Expert
Knowledge and understanding of database design and implementation concepts. , Expert
Knowledge and understanding of data exchange formats., Expert
Knowledge and understanding of data movement concepts, Expert
Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert
Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert
Able to effectively provide direction to and lead technical teams., Expert
ESSENTIAL FUNCTIONS:
20% Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
15% Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
15% Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
15% Enforces the implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
10% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
5% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies