Job Description: Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans, and integrate with portfolio of Ab Initio software. • Build Web-Service and RESTful graphs and create RAML or Swagger documentations. • Complete understanding and analytical ability of Metadata Hub metamodel. • Complete hands-on expertise on Metadata Hub OOB import feeds. • Build graphs interfacing with heterogeneous data sources – Oracle, Snowflake, Hadoop, Hive, AWS S3. • Build application configurations for Express>It frameworks – Acquire>It, Spec-To-Graph, Data Quality Assessment. • Build automation pipelines for Continuous Integration & Delivery (CI-CD), leveraging Testing Framework & JUnit modules, integrating with Jenkins, JIRA and/or Service Now. • Build Query>It data sources for cataloguing data from different sources.
Responsibilities: Parse XML, JSON & YAML documents including hierarchical models. • Build and implement data acquisition and transformation/curation requirements in a data lake or warehouse environment, and demonstrate experience in leveraging various Ab Initio components. • Build Control Center Jobs and Schedules for process orchestration • Build BRE rulesets for reformat, rollup & validation use-cases • Build SQL scripts on database, performance tuning, relational model analysis and perform data migrations. • Ability to identify performance bottlenecks in graphs, and optimize them. • Ensure Ab Initio code base is appropriately engineered to maintain current functionality and development that adheres to performance optimization, interoperability standards and requirements, and compliance with client IT governance policies • Build regression test cases, functional test cases and write user manuals for various projects • Conduct bug fixing, code reviews, and unit, functional and integration testing • Participate in the agile development process, and document and communicate issues and bugs relative to data standards • Pair up with other data engineers to develop analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids • Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment • Perform other duties and/or special projects as assigned
Qualifications: Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal communication skills
