Senior Ab Initio Data Engineer -Data Analytics Sr Lead

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Job Overview

The Data Analytics Sr Lead Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project.

We are looking for Senior Ab Initio Data Engineer  to be able to design and build Ab Initio-based applications across Data Integration, Analytics, Governance & Quality domains for Compliance Risk programs. The individual will be working with both Technical teams, 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 with end to end lineage documentation.

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:

• Adapts latest trends in Data Science/Data Mining/Big Data field for application within role and the business.
• Serves as the subject matter expert for strategic data analysis, identifies insights and implications as well as make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Demonstrates excellent communication skills in order to negotiate internally, often at a senior level, leveraging diplomacy in order to guide, influence and convince internal and external stakeholders.
• Applies ingenuity and creativity to problem analysis and resolution in both complicated and novel contexts.
• Employs sophisticated analytical thought comparing and selecting complex alternatives to make refined judgements and sound solutions.
• Consults on business operations offering authoritative advice to influence significant business outcomes.
• Responsible for informing and implementing the sub function’s technical strategy.
• Responsible for handling staff management issues, including resource management and allocation of work within the team/project.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• 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:

• 12+ years experience in working with various data teams.
• Detailed understanding of latest data technologies and solutions towards how they can help solve for next generation business needs.
• Experience using tools statistical modeling, data analytics, data governance, data lineage and data quality.
• Extensive experience in design, build and deployment of Ab Initio-based applications and well versed with latest abinitio products of data quality, lineage and data science.
• 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/University degree or equivalent experience, potentially Masters degree

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:

Data Analytics

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Sep 16, 2025

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