What are the responsibilities and job description for the Senior Data Engineer (Optimization) position at ESpace Networks?
Job Description- Senior Data Engineer (Optimization)
Overview:
At Neuron, we believe in a future with seamless connectivity. That's why we're on a mission to
transform the connectivity for things that move, making connectivity experiences better for
everyone.
Our team of tech and telecom experts are building a connectivity management platform that
uses real-time data and AI to provide companies in the travel and transportation industries,
including ships, planes, trains and more, with unprecedented insights, visibility and control over
their connectivity-enabling them to deliver seamless connectivity, wherever they are.
Today, the Neuron platform is used by world-leading Fortune 500 companies in the cruise and
commercial aviation sectors.
Why Neuron?
• Founded in 2019, we are a fast-growing, Series A tech startup passionate about
making connectivity experiences better for everyone.
• Our industry-first solutions are already addressing major challenges for companies in
the travel and transportation industries-and we're just getting started.
• As an early-stage company's new hires will have the opportunity to make a significant
impact on our growth trajectory.
• We are headquartered in the greater Miami region, with remote teams spanning the
U.S., Europe and India.
• Neuron is backed by Columbia Capital, a respected venture capital firm founded in
1989 that has raised over $5 Bn of fund commitments.
About the Role
We're seeking curious thinkers looking to co-author the next chapters of our story. Joining now
means helping shape our vision, structures, and systems; playing a key-role as we launch into our
ambitious future.
We're looking for Senior Data Engineer (Optimization) to work on the NextGen connectivity
platform across platforms. This is an outstanding opportunity to help build an ambitious future
for our flagship product.
What You'll Do
➢ The primary objective of the Senior Data Engineer position is to mentor and manage the
development, implementation, and optimization of data infrastructure and architecture.
➢ Ensuring the efficient and effective handling of large datasets and supporting advanced
analytics initiatives.
➢ Data Architecture: Design, implement, and maintain scalable data pipelines and
infrastructure.
➢ Database Management: Oversee the management and optimization of databases for
performance and reliability.
➢ ETL Processes: Develop and enhance Extract, Transform, Load (ETL) processes for
seamless data integration.
➢ Data Modeling: Create and maintain data models to support business requirements and
analytics.
➢ Quality Assurance: Implement data quality and validation processes to ensure accuracy
and reliability.
➢ Optimization: Continuously optimize and enhance data systems for improved efficiency
and performance.
➢ Security: Implement and maintain data security measures and compliance standards.
➢ Documentation: Create and maintain comprehensive documentation for data processes
and systems.
➢ Mentorship: Provide guidance and mentorship to junior data engineering team members.
What You'll Need
➢ Bachelor's degree in computer science, Information Technology, or related field.
➢ Minimum of 5 years of experience in data engineering with a focus on scalable and
robust data solutions.
➢ Proficiency in data modeling and database design.
➢ Strong programming skills in languages such as Python, Java, or Scala.
➢ Experience with big data technologies (e.g., Hadoop, Spark).
➢ Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
➢ Familiarity with data warehousing solutions.
➢ Expertise in ETL tools and processes.
➢ Analytical Skills: Strong analytical and problem-solving skills with attention to detail.
➢ Communication: Excellent communication and collaboration skills, able to convey
complex technical concepts to non-technical stakeholders.
➢ Leadership: Proven leadership skills with the ability to mentor and guide junior team
members.
➢ Adaptability: Ability to adapt to evolving technologies and industry best practices.
➢ Team Player: A collaborative mindset with the ability to work effectively within a crossfunctional team.
Salary : $5
