Lead Data Engineer

Job description

The Data Analytics Senior Analyst is a seasoned professional role.

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function.

Integrates subject matter and industry expertise within a defined area.

Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information.

Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources.

Strong communication and diplomacy skills are required.

Regularly assumes informal/formal leadership role within teams.

Involved in coaching and training of new recruits.

Significant impact in terms of project size, geography, etc.

by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization.

Work and performance of all teams in the area are directly affected by the performance of the individual.

**Responsibilities:**

+ Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.
+ Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.
+ Assumes informal/formal leadership role through coaching and training of new recruits.
+ Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.
+ Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
+ Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
+ Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
+ Consults with business clients to identify system functional specifications.

Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.
+ Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
+ Leads system change process from requirements through implementation; provides user and operational support of application to business users
+ Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
+ Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
+ Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
+ Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
+ 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.

**Required Skills:**

+ **ETL** : 5+ years of Hands on experiencing in building data pipelines using **Apache Spark** .
+ **Big Data** : Hands on experience of working on Big Data platforms such as **Hadoop, Hive or Snowflake f** or data storage and processing.
+ Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
+ Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
+ Languages: Proficient in one or more programming languages commonly used in data engineering such as **Python, Java or Scala**
+ DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

**Preferred Skills (Nice to Have):**

+ Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
+ Containerization: Understanding of containerization platforms like Docker, Kubernetes
+ File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Iceberg
+ Others: Basics of Job scheduler like Autosys.

Basics of Entitlement management
+ Certification on any of the above topics would be an advantage.

**Qualifications:**

+ 5-8 years of experience implementing data-intensive solutions using agile methodologies.
+ Experience of modelling data for analytical consumers
+ Ability to automate and streamline the build, test and deployment of data pipelines
+ A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
+ Excellent communication and problem-solving skills

**Education:**

+ Bachelor’s/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:**

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:**

$96,400.00 - $144,600.00

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**

Big Data, Cloud Technology, Java, Python (Programming Language), Scala (Programming Language).
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**Anticipated Posting Close Date:**

Sep 15, 2025
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._

_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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) ._

_View Citi’s EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy) and the Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Required Skill Profession

Other General