Citi Group Senior Data Analyst 

United States, Texas, Irving 

521696806

• Integrates subject matter and industry expertise within a defined area.

• Contributes to data analytics standards around which others will operate.

• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.

• Employs 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.

• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning for resources.

• Integral member of Data Engineering team, responsible for design and development of Big Data solutions. Partner with domain experts, product managers, analysts, and data scientists to develop Big Data pipelines in Hadoop or Snowflake. Responsible for delivering data as a service framework.

• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken. Resolves occasionally complex and highly variable issues.

• Responsible for moving all legacy workloads to cloud platform. Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications.

• Ensure automation through CI/CD across platforms both in cloud and on-premises. Research and assess open source technologies and components to recommend and integrate into the design and implementation

• Define needs around maintainability, testability, performance, security, quality and usability for data platform.

• Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes.

• Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems.

• Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance.

• Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks.

• Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.

• Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned.

• 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:

• 8+ years of experience in hadoop/big data technologies.

• 3+ years of experience in spark.

• 2+ experience in Snowflake

• 2+ year of experience working on Google or AWS cloud developing data solutions. Certifications preferred.

• Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required;

• Experience with containerization and related technologies (e.g. Docker, Kubernetes)

• Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)

• 1 year Hadoop administration experience preferred

• 1+ year of SAS experience preferred.

• Comprehensive knowledge of the principles of software engineering and data analytics

• Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)

• Knowledge of agile(scrum) development methodology is a plus

• Strong development/automation skills

• Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus.

• System level understanding - Data structures, algorithms, distributed storage & compute

• Can-do attitude on solving complex business problems, good interpersonal and teamwork skills

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.

Anticipated Posting Close Date:

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