Application Guide

How to Apply for Senior Data Engineer

at Omnidian

🏢 About Omnidian

Omnidian is a mission-driven company dedicated to making sustainable energy accessible and reliable through 24/7 solar system monitoring and advanced diagnostics. Working here means contributing directly to the clean energy transition while solving complex IoT data challenges at scale.

About This Role

As a Senior Data Engineer, you will own the design and maintenance of critical data pipelines that process IoT data from solar systems and fuel the company's data warehouse. Your work directly impacts system reliability, customer insights, and the company's ability to scale its monitoring services.

💡 A Day in the Life

A typical day might start with a stand-up to align on pipeline priorities, followed by designing a new Kafka stream for IoT data ingestion. Midday, you'd review a Spark job performance issue, then document data lineage for a gold table. Afternoons often involve pairing with analytics teams to ensure data quality and governance standards are met.

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🎯 Who Omnidian Is Looking For

  • Has 4+ years of experience building and optimizing big data pipelines, specifically with Spark, Kafka, and data lakes.
  • Possesses deep expertise in IoT data processing and cloud platforms (AWS or Azure), with hands-on experience in Databricks medallion architecture.
  • Is proficient in Python or Kotlin and SQL, with a strong understanding of data modeling principles and data governance.
  • Thrives in a remote, cross-functional environment and can act as a data governance ambassador while collaborating with engineering and analytics teams.

📝 Tips for Applying to Omnidian

1

1. Tailor your resume to highlight IoT data pipeline projects and specific experience with Databricks bronze/silver/gold structures.

2

2. In your cover letter, explicitly mention your experience with distributed systems like Spark and Kafka, and how you've handled real-time data ingestion.

3

3. Showcase any work with solar or energy-related data, even if from a side project, to demonstrate domain interest.

4

4. Provide a link to a GitHub repo or portfolio that includes a data pipeline project with clear documentation and medallion architecture.

5

5. Research Omnidian's blog or tech talks to reference their specific challenges (e.g., handling millions of IoT devices) in your application.

✉️ What to Emphasize in Your Cover Letter

["Emphasize your passion for sustainable energy and how your data engineering skills can directly support Omnidian's mission.", 'Highlight your experience with IoT data pipelines and distributed systems (Spark, Kafka) with concrete examples.', 'Mention your familiarity with Databricks and data governance practices, aligning with their medallion architecture.', "Show how you've collaborated cross-functionally to ensure data quality and documentation standards."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → 1. Read Omnidian's blog or case studies on their solar monitoring platform and data challenges.
  • → 2. Understand the Databricks medallion architecture in detail and how it applies to IoT data.
  • → 3. Check their career page or LinkedIn for recent projects or tech stack updates (e.g., which cloud provider they use).
  • → 4. Look into their data governance policies or any public talks by their data team.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 1. How would you design a data pipeline to ingest IoT data from multiple aggregator portals?
2 2. Describe your experience with Databricks medallion architecture. How do you handle bronze to silver to gold transformations?
3 3. Walk us through a time you optimized a Spark job for performance and cost on AWS/Azure.
4 4. How do you ensure data quality and governance in a streaming data environment with Kafka?
5 5. Given Omnidian's focus on solar monitoring, how would you handle data from millions of devices with varying latency and reliability?
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⚠️ Common Mistakes to Avoid

  • 1. Submitting a generic resume without highlighting IoT or real-time data experience.
  • 2. Overlooking the importance of data governance and documentation in your application or interview.
  • 3. Failing to demonstrate hands-on experience with Databricks or medallion architecture, which is core to the role.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Omnidian!

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