Svitla Systems Inc. is looking for
a Data Engineer for a full-time position (40 hours per week) in Argentina.
Our client is charting a bold new path for investor relations as the first AI-driven IR Ops Platform, providing everything an IR team needs to succeed on a single, powerful platform. The platform enables public companies to attract, manage, and understand investors - all in one place. Over 2,600 customers, including many of the world's most respected brands, trust the client to help drive premium valuations for their companies. Only the client offers a tech stack designed holistically to equip IR teams with data, insights, and smart workflows that drive remarkable outcomes.
You will be at the heart of the AI-driven evolution, implementing scalable pipelines and high-quality data governance that fuel the powerful IR Ops Platform. We’re looking for a technical trailblazer who operates with integrity and is ready to work cross-functionally to deliver remarkable outcomes for our global client base.
Requirements
- Minimum of 4+ years of experience as a Data Engineer or related role.
- Knowledge with a variety of different storage mechanisms, including SQL & No-SQL databases, Data Warehouses, and Data Lakes.
- Experience working with AWS Cloud platforms and related systems.
- Understanding of building and optimizing data pipelines, architectures, and data sets.
- Knowledge of big data tools: Databricks, Spark, Kafka, etc.
- Knowledge of data pipeline and workflow management tools, such as Airflow and Snowpipe.
- Understanding of real-time data processing and stream-processing systems: Kinesis, Spark Streaming, etc.
- Expertise in requirements analysis, design, implementation, and testing of software solutions, especially data-related, using Python, Scala, and/or other programming languages.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong project management, organizational, and communication skills.
Responsibilities
- Implement and maintain data pipeline architecture and optimize data flow and collection for cross-functional teams.
- Extend support for implementing governance across the data landscape and ensure data ingress/egress follows the established hygiene guidelines and sanity rules.
- Cooperate with stakeholders, including the executive, product, data, and design teams, to support data acquisition, address data-related technical issues, and meet other analytics needs.
- Work cross-functionally to explore and propose solutions to business problems that can be addressed using insights from data.
- Create various types of documentation, including business requirements, functional/technical specifications, process flows, unit test plans, user acceptance plans, etc.
- Build high-quality, scalable, optimized, and maintainable data pipelines based on the best practices.
- Create data tools for the analytics and data science team that help them build and optimize our product into an innovative industry leader.
- Contribute to the definition and implementation of standards and best practices for Data Analytics and Data Governance.
- Maintain and troubleshoot the infrastructure supporting optimal extraction, transformation, and loading of data from a wide range of data sources.
- Identify, design, and implement process improvements: automate manual processes, optimize data delivery, improve data reliability, efficiency, and quality, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into student learning, customer acquisition, operational efficiency, and other key metrics.
WE OFFER
- US and EU projects based on advanced technologies.
- Competitive compensation based on skills and experience.
- Comprehensive private medical insurance.
- Regular performance appraisals to support your growth.
- Flexibility in workspace, either remote, our welcoming office or local coworking.
- Bonuses for recommendations of new employees.
- Bonuses for article writing, public talks, other activities.
- 15 vacation days, 10 national holidays, 10 sick leaves.
- Personalized learning program tailored to your interests and skill development.
- Free tech webinars and meetups organized by Svitla.
- Fun corporate online\offline celebrations and activities.
- Well-established remote culture.
- Awesome team, friendly and supportive community!
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