Senior Data EngineerOrchestration Specialist

extra parental leave
Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

At least 4 years of experience as a Data Engineer., Hands-on experience with data pipelines using orchestration tools like Airflow, Prefect, or Dagster., Strong programming skills in Python, Scala, or JavaScript, with solid software engineering principles., Expertise in SQL and non-SQL databases, cloud platforms such as AWS or GCP..

Key responsibilities:

  • Build and maintain scalable data pipelines from diverse sources.
  • Develop and optimize data models and dashboards for analytics.
  • Collaborate with stakeholders to understand data requirements and support infrastructure needs.
  • Contribute to internal data tool development and mentor junior engineers.

MDA Edge logo
MDA Edge Scaleup https://mdaedge.com/
201 - 500 Employees
See all jobs

Job description


About the role

We are seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a crucial role in building and maintaining data pipelines, developing and managing dashboards, and contributing to tool development. Your expertise will enable us to efficiently process and analyze large volumes of data, providing valuable insights to drive business decisions.

What youll be working on

  • Build scalable and efficient data pipelines to collect, process, and transform large volumes of data from diverse sources.
  • Develop and maintain data models, ensuring data integrity and optimizing query performance.
  • Collaborate with stakeholders to understand their data requirements and provide the necessary infrastructure and support.
  • Build and maintain interactive dashboards and visualizations to enable datadriven decisionmaking across the organization.
  • Contribute to the development of internal data tools and frameworks, automating repetitive tasks and improving data accessibility and usability.
  • Stay up to date with the latest advancements in data engineering technologies and best practices, and proactively recommend improvements to our data infrastructure.
  • Mentor and provide guidance to junior data engineers, fostering a culture of learning and growth.
    • Interview process:

      1. Potential Recruiter Screen
      2. Hiring Manager Screen (Technical)
      3. Virtual Onsite: Two CodingProblem solving sessions (1 hour each)
      4. Offer Stage
        1. Must have:
          • Experience: 4+ years of experience as a Data Engineer
          • Experience: handson experience building or maintaining data pipelines with a modern orchestration tools like AirflorwPrefectDagster.
          • Technical Skills: strong programming skills in languages like Python, Scala or Javascript, with a solid understanding of software engineering principles.
          • Technical Skills: strong expertise with SQL and nonSQL DBs, cloudbased data platforms (e.g., AWS, GCP) and their related services (S3, BigQuery, etc.).
          • SQL: Expert level writing of SQL for data manipulation, transformation and for analytics.
          • Dash Boarding: Experience building and maintaining interactive and intuitive dashboards using tools like Looker.
          • Development: Comfortable with tool development, including building and enhancing internal data tools and frameworks.
            • Nice to have:
              • Prior Startup Experience: Experience scaling from Series AB through later stages.
              • Business Model Experience: B2C and B2B experience and payments experience would be a bonus.
                • Benefits: Medical, Dental, Vision, Paid time off, Parental leave, Parental leave.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Collaboration

Data Analyst Related jobs