Senior Data Software Engineer

Remote in Argentina,

Data Software Engineering

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We are looking for a Senior Data Software Engineer to join our team and collaborate directly with our client on building robust data solutions. In this role, you will architect and maintain code for ETL/ELT pipelines, large-scale batch and streaming systems, while providing technical leadership and ensuring high-quality delivery throughout the project lifecycle.

Responsibilities

Architect and maintain the code base for ETL and ELT pipelines, large batch/micro batch processing and streaming systems
Build out the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using ADF, Spark, Kafka or similar technologies
Identify, design and implement internal process improvements, including automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability
Design and implement innovative data services solutions using Spring Boot, ReactJS, NoSQL or other UI and API related technologies
Assure governance of processes in delivery management and production as per selected delivery model
Act as a single point of responsibility over any delivery-related matters for top management and stakeholders, including escalations, upsells and ramp-downs
Provide technical leadership regarding the delivery, ensuring a sound and future-proof architecture is planned and the implementation meets the technical quality standards
Write stories and associated acceptance criteria for agile/scrum workflow
Coordinate between multiple disciplines and stakeholders
Ensure that projects are delivered in line with client processes and methodologies, with focus on agile approaches
Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
Measure and improve delivery productivity, serve as a consultant to Data Engineers and perform production support and deployment activities

Requirements

3+ years of experience in SQL, Spark and Scala
Expertise in Databricks
Background in designing and implementing ETL/ELT pipelines and large batch/micro batch processing systems
Familiarity with data services solutions using Spring Boot, ReactJS and NoSQL or other UI and API related technologies
Understanding of agile/scrum workflow and different delivery models
Capability to provide technical leadership and act as a consultant to Data Engineers
English proficiency at B2 level or higher for direct communication with the client

Nice to have

Skills in Spark Streaming and Kafka
Familiarity with Azure