📋 Description

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner.
• Deliver solutions supporting ML, DS, Analytics and AI use cases.
• Work with data analysts, data scientists, and product managers to understand requirements and
• Translate business questions into engineering tasks and contribute to technical planning.

🎯 Requirements

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).
• Preferred: Experience supporting BI, analytics, or data science teams.

🎁 Benefits

• Medical, vision, and dental insurance
• Life insurance
• Disability insurance
• 401(k) matching program (up to 5% match)
• Short-term or long-term incentive compensation including cash bonuses and stock program
• Paid personal time off