The Digital S/W Engineer Sr 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:

• Accountable for executing and driving mid-size feature application design and development efforts to completion, serving as a development lead on medium-scale projects and supporting the execution of larger efforts.
• Proficient at operating with considerable autonomy and discretion as you will significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles.
• Sought after due to ability to analyze and troubleshoot coding, application performance and design challenges.
• Capable of research in root cause of development and performance concerns as well as the resolution of defects.
• Have a deep understanding of the technical requirements for the solutions being built.
• Understand engineering needs including those required to build, maintain, and operate the system through all phases of its life.
• Proficient in information modeling, data structures and algorithms.
• Understand maintenance characteristics, runtime properties and dependencies that exist in support of your system’s software. These dependencies will include but not limited to: hardware, platform, operating system, performance and load requirements, as well as contingencies with upstream and downstream systems.
• Demonstrate an advanced understanding of supported main system flows and possess a comprehensive understanding of how the system and others (i.e. architecture or infrastructure) collectively integrate to contribute towards achieving business objectives. Using this expertise, assist with the development of standards for coding, testing, debugging and implementation. This will ensure application design adheres to the overall architecture blueprint.
• Participate in design discussions as a Development Lead and as such will play the part of a key decision maker in driving design decisions. This is evidenced by your knowledge of the application code details and your experience with the technology and teams engaged.
• Work with limited guidance, seeking guidance only as needed as the development and delivery strategy is defined; the design is not.
• Exhibit the ability to turn complex application design into a well written application.
• Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings.
• Participates in the full development life cycle, identify dependencies between agile and waterfall delivery, working within broadly defined parameters, including test plan execution and software quality needs
• Directly impact the business by influencing strategic functional decisions through advice, counsel or provided services. This will require persuading and influencing others through strong and comprehensive communication and diplomacy skills.
• Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels.
• Recognize discordant views and take part in constructive dialog to resolve them.
• Work across teams to optimize processes.
• Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives.
• Continuously assess development processes, test plans, and operations.
• Work with teams to improve concurrent project delivery.
• Streamline and / or eliminate excess process in any area of architecture, build, delivery, production operations environment, or business area where the same efforts (or issues) are repeated year-over-year.
• Share knowledge with the team in various forums (brown bags, engineering forums etc.) and demonstrate a higher level of knowledge through industry certifications
• 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.

Qualifications:

Experience - 8+ years

Key Skills: Java, Snowflake, Python
- Expertise in cloud databases such as Amazon RDS, Google BigQuery, Azure SQL Database, and Snowflake.

- Skilled in programming languages such as Python, SQL

- Strong knowledge of data modeling, schema design, and query optimization.
- Experience in designing and implementing ETL/ELT pipelines using tools like Apache Airflow, Apache Spark, and cloud-native services.

- Hands-on experience with distributed data processing frameworks (e.g., Hadoop, Spark).
- Experience with data warehousing and analytics platforms.
- Familiarity with CI/CD pipelines and version control systems like Git.
- Strong understanding of data security, compliance, and governance in cloud environments.

Professional Experience:
- Designed and implemented scalable data pipelines to process and transform terabytes of data in cloud environments.
- Migrated on-premise databases to cloud platforms, ensuring minimal downtime and data consistency.
- Optimized database performance by implementing indexing, partitioning, and query tuning techniques.
- Collaborated with data scientists and analysts to provide clean, reliable, and well-structured datasets for analysis.
- Automated data workflows and monitoring processes to ensure high availability and reliability.

Certifications:
- AWS Certified Data Analytics – Specialty
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate

Education:

• Bachelor’s/University degree or equivalent experience

Join Citi's cutting-edge technology team as a Data Engineer specializing in AWS cloud, Snowflake, Spark, and Databricks!  Collaborate in an agile environment to build and maintain robust data pipelines on AWS

*Responsibilities:** Design, develop, and optimize data solutions using Snowflake, Python, Spark, and Databricks on AWS. Implement ETL/ELT processes using AWS Glue, Airflow, Spark, and Databricks, ensuring data quality and security.  Work with AWS data services like S3, RDS, Redshift, EMR, and EKS. Integrate Snowflake with AWS services and Databricks for data warehousing and analytics.

 

**Qualifications:**

* 8+ years of experience in data engineering with a focus on Spark, Python, and Snowflake.

* Expertise in AWS data services (S3, RDS, Redshift, Glue, EMR, EKS).

* Strong skills in Python, SQL, Spark, Databricks, data modeling, and query optimization.

* Experience with ETL/ELT tools (AWS Glue, Airflow, Spark, Databricks) and distributed processing frameworks (Spark) on AWS.

* Familiarity with CI/CD and Git.

* Understanding of data security and governance in AWS.

 

If you're a driven problem-solver passionate about AWS cloud data engineering, Snowflake, Spark, and Databricks, apply now!

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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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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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.

 

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