Citi

Abinitio Data Engineer - C11 - CHENNAI / Pune

Chennai, India Pune, India
Hadoop Yarn Oracle MongoDB SQL Shell Perl AWS
Description

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Ab Initio Data Engineer
We are looking for Ab Initio Data Engineer to be able to design and build Ab Initio-based applications across Data Integration, Governance & Quality domains for Compliance Risk programs. The individual will be working with both Technical Leads, Senior Solution Engineers and prospective Application Managers in order to build applications, rollout and support production environments, leveraging Ab Initio tech-stack, and ensuring the overall success of their programs. The programs have a high visibility, and are fast paced key initiatives, which generally aims towards acquiring & curating data and metadata across internal and external sources, provide analytical insights and integrate with other Citi systems.
Technical Stack:
•    Ab Initio 4.0.x software suite – Co>Op, GDE, EME, BRE, Conduct>It, Express>It, Metadata>Hub, Query>it, Control>Center, Easy>Graph
•    Big Data – Cloudera Hadoop, Hive, Yarn
•    Databases - Oracle 11G/12C, Teradata, MongoDB, Snowflake
•    Others – JIRA, Service Now, Linux, SQL Developer, AutoSys, and Microsoft Office
Responsibilities:
•    Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans, and integrate with portfolio of Ab Initio softwares.
•    Build Web-Service and RESTful graphs and create RAML or Swagger documentations.
•    Complete understanding and analytical ability of Metadata Hub metamodel.
•    Strong hands on Multifile system level programming, debugging and optimization skill.
•    Hands on experience in developing complex ETL applications.
•    Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyze data issues
•    Strong in UNIX Shell/Perl Scripting.
•    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.
•    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 Autosys or Control Center Jobs and Schedules for process orchestration
•    Build BRE rulesets for reformat, rollup & validation usecases
•    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 5 years of experience
•    Minimum 5 years of extensive 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


Education:

  • Bachelor’s degree/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

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