Lead design and implementation of large-scale data processing applications, define coding/testing standards, partner with management on system enhancements, mentor mid-level developers, ensure architecture compliance, and resolve complex business and system issues.
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
- Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
- Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
- Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
- Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
- Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
- Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
- Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
- 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.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 7+ years of experience in data engineering, with a strong focus on Python and big data technologies.
- Proven expertise in designing and implementing large-scale data processing solutions using PySpark.
- Extensive experience with distributed computing frameworks like Apache Spark.
- Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT principles.
- Proficiency in SQL and experience with various relational and NoSQL databases.
- Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, ADLS, Google Cloud Storage, Redshift, Snowflake, BigQuery, Databricks).
- Familiarity with workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, AWS Step Functions).
- Experience with version control systems (e.g., Git).
- Excellent problem-solving, analytical, and communication skills.
Preferred
- Experience with streaming data technologies (e.g., Kafka, Kinesis).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Knowledge of data governance, data lineage, and metadata management tools.
- Experience with CI/CD pipelines for data solutions.
- Certifications in cloud data engineering (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Technical Skills
Programming Languages
- Python: Advanced proficiency, including data manipulation libraries (Pandas, NumPy) and object-oriented programming.
- PySpark: Expert-level knowledge for data processing, transformations, and performance tuning on Spark.
- SQL: Advanced proficiency for complex queries, database design, and optimization.
Big Data Frameworks
- Apache Spark (PySpark)
Data Warehousing & Databases
- Data Modeling (Star Schema, Snowflake Schema)
- ETL/ELT Methodologies
- Relational Databases (e.g., PostgreSQL, MySQL, SQL Server, Oracle)
- Cloud Data Warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery)
- NoSQL Databases (e.g., MongoDB, Cassandra, DynamoDB)
Cloud Platforms (good to have)
- AWS: S3, EMR, Glue, Lambda, Redshift, Athena, Kinesis
- Azure: Data Lake Storage, Databricks, Synapse Analytics, Azure Data Factory, Event Hubs
- GCP: Cloud Storage, Dataproc, BigQuery, Dataflow, Pub/Sub
Orchestration & Automation
- Apache Airflow
- Azure Data Factory
- AWS Step Functions
Other Tools & Concepts
- Version Control (Git, GitHub, GitLab, Bitbucket)
- Containerization (Docker, Kubernetes)
- CI/CD Principles
- Data Governance & Security
- Performance Optimization & Tuning
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
------------------------------------------------------
Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Similar Jobs
7 Days Ago
Fintech • Financial Services
Leads application development and systems analysis for FX client platforms. Partners with management and technology teams to define enhancements, resolve complex issues, implement products, and ensure architecture, coding, testing, and compliance standards. Provides advanced programming expertise, assesses risk, and mentors developers and analysts. Requires strong FX domain knowledge, substantial application development experience, project leadership, and stakeholder communication skills.
Fintech • Financial Services
Leads application development and systems analysis for Citi’s equity derivatives pre-trade platform. Responsibilities include designing and implementing application enhancements, solving complex technical problems, establishing coding and testing standards, supporting legacy modernization, applying Agile and DevOps practices, and coaching developers and analysts. The role requires expertise in Java-based application development, microservices, containerization, Couchbase, and software delivery best practices, with preferred experience in Kotlin, C#, Microsoft SQL Server, and equity derivatives.
Top Skills:
AgileBehavior-Driven Development (Bdd)C#ContainerizationCouchbaseDevOpsJavaKotlinMicroservicesMicrosoft Sql ServerTest-Driven Development (Tdd)
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Participates in a 15-month biopharmaceutical manufacturing training program focused on process safety, workplace health and safety, environmental compliance, emergency preparedness, and EHS documentation. Supports PSM systems, hazard analyses, management of change, risk assessments, incident investigations, contractor safety, hazardous waste coordination, environmental records, emergency drills, audits, and regulatory reporting while developing practical EHS expertise.
Top Skills:
ChatgptMicrosoft CopilotMicrosoft Office Suite
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
