Design, build, and maintain scalable batch and streaming data pipelines for analytics.
Write clean, efficient code in Python, SQL, and Spark with good documentation.
Ensure data is reliable, accurate, and delivered in a timely manner.
Collaborate with data analysts, data scientists, and product managers to deliver data solutions.
Participate in code reviews, sprint planning, and agile ceremonies.

🎯 Requirements

2–4 years of experience in data engineering or analytics engineering.
Strong SQL skills; proficient in Python, Java, or Scala.
Hands-on with Databricks, Airflow, dbt, Spark, or Kafka.
Understanding of data modeling, warehousing, and ETL/ELT best practices.
Experience with AWS, GCP, or Azure.

🎁 Benefits

Health, vision, and dental coverage
401(k) with company match
Generous PTO and holidays
Learning and growth opportunities
Hybrid work options and remote-friendly policies

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