Data Engineer

Job Title:

Location:

Job Type:

About Us

At Best Nanotech, we are [brief mission statement, e.g., revolutionizing supply chain logistics]. We believe that data is our most valuable asset. We are building a world-class Data Platform team to ensure that our Analysts, Data Scientists, and Leadership have access to clean, reliable, and timely data.

The Role

You won't just be moving data from A to B; you will be designing the architecture that makes that movement fast, reliable, and cost-effective.

Key Responsibilities

• Pipeline Development:

  Design, build, and maintain scalable ETL/ELT pipelines using

  Python

  and

  SQL

  .

• Architecture:

  Help manage our cloud data warehouse (

  Snowflake / BigQuery / Redshift

  ) and data lake.

• Orchestration:

  Schedule and monitor workflows using

  Airflow

  , Dagster, or Prefect.

• Data Quality:

  Implement automated testing and validation to ensure data accuracy and consistency.

• Collaboration:

  Work closely with Data Scientists to prepare data for ML models and with Product teams to capture new data events.

• Performance Tuning:

  Optimize slow-running queries and minimize cloud compute costs.

What We Are Looking For

• Experience:

  2+ years of experience in Data Engineering.

• Coding:

  Advanced proficiency in

  SQL

  (window functions, CTEs are second nature) and

  Python

  .

• Cloud:

  Experience with a major cloud provider (

  AWS, GCP, or Azure

  ).

• Big Data Tools:

  Familiarity with distributed computing frameworks like

  Spark

  or

  Databricks

  is a plus.

• Concepts:

  Strong understanding of Data Modeling (Star Schema, Snowflake Schema) and Data Warehousing concepts.

• Engineering Mindset:

  Experience with Git, CI/CD pipelines, and Containerization (Docker).

Bonus Points

• Experience with Streaming technologies (Kafka, Kinesis, Flink).
• Experience with Infrastructure as Code (Terraform).
• Knowledge of dbt (Data Build Tool).

• Why Join Us?

• Impact:

  Your work will directly influence company strategy and product features.

• Compensation:

  Competitive salary + Equity/Stock Options.

• Learning:

  Budget for certifications (AWS/GCP), conferences, and workshops.

• Culture:

  A "no-blame" culture that values learning from incidents.

• Health:

  Premium medical, dental, and vision coverage.

Ready to apply?