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Data Engineer
2 weeks ago
Job Summary
Seeking a Data Engineer who will be working closely with data scientists and developers to architect data transformations, analyze, develop, maintain, and test data infrastructures. This role requires deep hands-on production expertise in Apache Spark and data engineering, along with a variety of knowledge of the big data ecosystem.
Job Responsibilities
● Work with large data sets, develop programs to create, parse, process, analyze complex datasets used throughout our organization
● Consolidate, join datasets to create easily consumable, consistent, holistic information and create visualizations for the same
● Create and define performance metrics; ideate, innovate, and hack through the existing systems to improve performance
● Analyze third party and client data to understand its overlap with different data sources and how best to integrate it
● Guide strategic customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
Job Specifications
● Education, qualifications: solid foundation in Computer Science and strong competencies in data structure, algorithms and software architecture
● Experience: 5+ years
Required Skills
● Deep hands-on expertise in Apache Spark (Python, Java, or Kotlin)
● 3+ years’ experience in design and implementation of big data technologies (Apache Spark, Apache Delta lake, Apache Kafka, NoSQL database) and familiarity with data architecture patterns (data Lakehouse, data warehouse, data lake, and data streaming)
● Familiarity with Kubernetes as the resource manager for Spark jobs is a plus
● Minimum 2 year of programming experience with Python in similar, relevant data engineering role
● Experience with query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions
● Experience working with libraries like pandas, numpy, scipy and comfortable with ETL processes
● Experience with creation, orchestration and monitoring of job pipelining with either one of frameworks like airflow, etc.
● Familiarity with Restful API's is a plus
● Working knowledge of relational databases such as Snowflake, Postgres, No SQL databases like, Elastic, Mongo is desirable
● Experience with source code-controlled environments like git
● Ability to communicate complex technical topics concisely
● Demonstrated experience working with diverse data sets across multiple domains
● Good understanding of DBT, Iceberg, Delta Lake, Hive, Hadoop
● Experience of data processing architectures (both streaming and batch) is highly preferable
Soft Skills
● Excellent and proven communication, presentation, facilitation and organizational skills
● Proven ability to work well with multi-disciplinary teams
● Critical thinking and problem-solving
About RIA Advisory:
- RIA Advisory LLC (RIA) is a business advisory and technology company that specializes in the field of Revenue Management and Billing for Banking, Payments, Capital Markets, Exchanges, Utilities, Healthcare, and Insurance industry verticals. With a highly experienced team in the field of Pricing, Billing & Revenue Management, RIA prioritizes understanding client needs and industry best practices to approach any problem with insight and careful strategic planning. Each one of RIA Advisory's Managing Partners have over 20 years of industry expertise and experience, our leadership and consulting team demonstrate our continued efficiency to serve our clients as a strategic partner especially for transforming ORMB and CC&B space.
- Services Offered: • Business Process Advisory for Revenue management processes • Technology Consulting & Implementation • Help clients transition to latest technology suite and overcome business problems. • Managed Services • Quality Assurance • Cloud Services
- Product Offered: • Data Migration and Integration Hub • Data Analytics Platform • Test Automation • Document Fulfilment • Customer Self Service
- Top Industries/Verticals: • Financial Services • Healthcare • Energy and Utilities • Public Sector Revenue Management
- We recognize the impact of technologies on the process & people that drive them, innovate scalable processes & accelerate the path to revenue realization. We value our people and are “Great Place to Work” – Certified.
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