Job description for Data Engineer at Arvis
Before You Apply
We want to be upfront about how we work. This role moves quickly and trusts you with real ownership. You'll handle ambiguity, juggle multiple priorities, and deliver production-ready work, sometimes as requirements shift mid-week or feedback needs a fast turnaround. We look for people who stay composed under pressure, take full accountability for their work, and hold themselves to a high standard without close supervision.
What We’re Looking For
● 1–3 years of experience in data engineering, database development, or related technical roles.
● Strong command of SQL and experience with both relational and non-relational databases (e.g., MongoDB).
● Proficiency in Python (Java or Scala a plus).
● Hands-on experience with workflow orchestration (Apache Airflow) and cloud data warehouses (BigQuery, Snowflake, or Redshift also relevant).
● Experience building dashboards in BI tools such as Looker Studio.
● Familiarity with cloud platforms (GCP preferred; AWS or Azure also valued); exposure to big data tools (Spark, Hadoop, Kafka) is a plus.
● Tech-savvy, with openness to learning and applying AI tools in daily workflows.
● Ability to manage multiple priorities independently and under pressure, with high attention to detail, personal accountability, and strong problem-solving skills.
