Position: Data Engineer
Company: Svitla Systems, Inc.
Experience required: 3y
English level: intermediate

Our client is a leading global provider of cloud-based investor relations and capital markets solutions, with the mission of partnering with customers to achieve their strategic IR objectives. Through best-in-class customer experience and an innovative suite of IR technology, they are a trusted partner to over 2,300 of the world’s largest brands. The client’s comprehensive IR communications and intelligence solutions portfolio, supported by an industry-leading customer experience model, empowers customers to build impactful and strategic IR programs. The Data Engineer will be responsible for expanding and optimizing the data and data pipeline architecture and optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support the client’s software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing the company’s data architecture to support the next generation of products and data initiatives. In this role, you will get to grow further and develop your skillset and get the opportunity to advance your career in an organization that is growing fast.

**Requirements:**
- Advanced working knowledge of SQL and experience in working with relational databases, query authoring (SQL), and working familiarity with a variety of databases.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Expertise in building processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Practical knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems.
- Analytical mind, critical thinker, and problem-solver.
- Understanding of the financial services industry and global capital markets.
- Bachelor's Degree in Computer Engineering or a related field required, or equivalent education.

**Responsibilities:**
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional/non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.
- Keep the data separated and secure through multiple data centers and AWS regions.
- Create data tools for analytics and different team members that assist them in building and optimizing the product into an innovative industry leader.

**We Offer:**
- Competitive compensation plan that takes skills and experience into consideration.
- Annual performance appraisals.
- Possibility to choose your workspace either remote or combination of your home and one of our development offices. 
- Projects that use advanced, cutting-edge technologies.
- Competitive bonuses for a personal recommendation of new employees.
- Vacation time, sick-leaves, national holidays, family supplementary days off.
- Comprehensive medical insurance including dental services, massages.
- Support for a healthy lifestyle, compensation of sports events.
- Maternity leave policy.
- A personal loan budget is available for long-term personnel.
- Partial compensation of conferences, courses, and English classes.
- Free meetups, webinars, and conferences organized by Svitla.
- Birthday and New Year presents for personnel, gifts for children.
- Fun summer and winter corporate parties and memorable anniversary presents.