Data Engineer (Kafka / Python)

Data EngineerIndustry: Banking & FinancialDuration: 12 Months- Long termLocation: North CarolinaTop Skills: Oracle SQL, PL/SQL, RDBMS, SnowflakeThe Expertise We're Looking For:Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data platforms.Proficiency in any programming language such as Python, Java. You write clean, well-tested code, and you're passionate about codingStrong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.Practical experience delivering and supporting Cloud strategies including migrating legacy products and implementing SaaS integrations.Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to execute on product roadmaps to enable new insights with our data.Crafted and implemented operational data stores, as well as data lakes in production environments.Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Deploying within a cloud native infrastructure would be advantageous.Able to work collaboratively with a geographically diverse team, also providing technical leadership for junior members of the team.Strong understanding of security aspectsThe Skills You Bring:Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.Ability to develop ELT/ETL pipelines to move data to and from Snowflake data store using combination of Python and Snowflake SnowSQL.Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (eg. PowerDesigner).Prior experience with Data ingestion tool sets (e.g Apache NiFi, Kafka) is advantageous.Experience in working with AWS, MS Azure or other cloud providers. Experience with AWS services such as Lambda or S3, AWS Certification.Experience in Data Architecture (Database design, performance optimization).Prior experience in setting up reliable infrastructure (Hardware, Scalable data management systems, and frameworks) to perform data-related tasks, particularly with Kafka.Familiarity with modern infrastructure technologies such as Docker, KubernetesStrong Focus on resiliency & reliability.You have excellent written and oral communication skills.Note: If you have a current association (client submittal, interview, or active assignment) with Signature Consultants, please let me know right away so we can ensure proper communication amongst our brands.Required Skills: Basic Qualification: Additional Skills: Looking for a consultant with great exposure in Oracle SQL and PL/SQL as well.