Job Description:

QUALIFICATIONS/REQUIREMENTS:

• Minimum 6+ years of experience with Bachelor’s degree in Computer Science or similar technical field of study or in lieu of a degree 8+ years of relevant experience.
• Minimum 6+ years of experience in managing large scale data platforms (Data warehouse/Data Late/Cloud) environments.
• 6+ years’ of programming experience in ETL tools and Data Lake Technologies - Hadoop, Spark, HDFS, Hive, and real-time applications using Kafka.
• 4+ Prior experience as a Data Engineering Technical Lead (leading team in Scaled Agile framework).
• Working knowledge of cloud platforms such as S3, Redshift, Snowflake, etc.
• Familiar with scheduling tools like Stonebranch.
• Strong familiarity with data governance, data lineage, data processes, DML, and data architecture control execution.
• Hands on experience in writing shell scripts and complex SQL queries
• Proficient with databases such as MySQL, Oracle.
• Good knowledge of Bitbucket, Cloudbees.

ELIGIBILITY REQUIREMENTS:

• You must be 18 years or older
• You must have a high school diploma or equivalent
• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).
  Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

ROLE SUMMARY/PURPOSE:

We are looking for a Senior Data Engineer to provide technical leadership for the development of Data warehouse and Data Lake applications supporting key business domains. This role will be instrumental in transforming the legacy systems to modern data platforms. This role is an exciting, fast-paced, constantly changing, and challenging work environment, and will play an important role in resolving and influencing high-level decisions across Synchrony.

ESSENTIAL RESPONSIBILITIES:

• Design, develop and lead data engineering applications in highly agile and fast moving teams.
• Lead a data engineering team and roll up the sleeves to individually contribute when required.
• Implement ETL/ELT on Data applications using big data technologies (Cloudera Hadoop cluster), Spark, Hive, Kafka, RDBMS(Oracle, MySQL), and public cloud solutions.
• Responsible for design, development, testing oversight and production implementation.
• Experience with batch and real-time data pipelines in a DevOps environment using Spark.
• Hands-on experience with CI CD and DevOps technologies like Bitbucket, Cloudbees, Stonebranch.
• Work closely with Product owners, Product Managers, Program manager, scrum masters in a Scaled Agile framework.
• Partner with architects to efficiently design data applications with scalability, resiliency and speed.
• Lead data engineering team to drive program delivery.
• Drive technical development and application standards across enterprise data lake
• Accomplish results by communicating expectations; planning, monitoring, and appraising results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards.
• Collaborate across cross-functional teams to improve and deliver on business objectives and priorities.
• Apply technical knowledge, industry experience, expertise, and insights to contribute to the development & execution of Engineering capabilities.
• Stays up-to-date on latest trends in data engineering, recommends best practices, develops innovative frameworks to avoid redundancy by promoting automation.
• Mentor and coach the team to promote Synchrony values and culture.
• Perform other duties and/or special projects as assigned.