Data Engineer (Kafka / Python)

Data Engineer

Industry: Banking & Financial

Duration: 12 Months- Long term

Location: North Carolina

Top Skills: Oracle SQL, PL/SQL, RDBMS, Snowflake

The 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 coding
• Strong 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 aspects
• The 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, Kubernetes
• Strong 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.