What you'll do:

• Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks.
• Deploy and provide support for application codes and analytical models.
• Provide senior-level technical consulting to peer data engineers during design and development for highly complex and critical data projects.
• Create and enhance data enable seamless integration and flow across the data ecosystem.
• Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs.
• Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python and AWS-based solutions.
• Utilize multiple development languages/tools such as Python, SPARK, Hive, Java to build prototypes and evaluate results for effectiveness and feasibility.
• Contribute to determining programming approach, tools, and techniques that best meet the business requirements.
• Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
• Operationalize open source data-analytic tools for enterprise use.
• Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.

What makes you a great fit:

• 6+ years of experience in data platform administration/engineering.
• Capability to architect highly scalable distributed systems, using different tools.
• Expert knowledge of data modelling and understanding of different data structures and their benefits and limitations under particular use cases.
• Experience using Big Data batch and streaming tools.
• Knowledge and experience using query languages (SQL, Cypher) for relational and graph databases.
• Capability to collaborate with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks that you will be responsible for.
• Ability to work in a fast-paced, rapidly changing environment.
• Experience working in an agile and collaborative team environment.
• Excellent written and verbal communication, presentation and professional speaking skills.
• Passion for learning and interest in pursuing classroom training and self-discovery on a variety of emerging technologies.
• Hands-on experience with Amazon Web Services (AWS)-based solutions such as Lambda, Dynamodb, Snowflake and S3
• Experience in migrating ETL processes (not just data) from relational warehouse databases to AWS-based solutions.
• Experience within the financial industry.
• Strong documentation, customer service and communication skills.
• Innovative and able to reach and collaborate with other team members and functional teams.
• Ability to handle multiple tasks in a fast-paced environment.
• Most importantly, live our values day in and day out.