Data Engineer

As a Data Engineer you will work closely with our Software Engineers team to design build secure and maintain analytics solutions.

Responsibilities

• Data Architecture & Pipeline Design: Develop optimize and maintain scalable data architectures facilitating seamless data collection and transformation for analytics.
  
• Data Quality & Governance: Implement robust data quality checks and governance protocols to ensure accuracy consistency
  
• Collaborative Analysis: Partner with business analysts to unlock insights from our data contributing to business strategies and objectives.
  
• Process Improvement: Conduct periodic reviews of internal analytics processes and workflows recommending and implementing improvements in automation optimization and scalability.
  
• Innovation: Keep your finger on the pulse of industry trends and emerging technologies proactively suggesting tools and methodologies to elevate our analytics capabilities.
  
• Cross-functional Collaboration: Engage with product marketing and other departments to initiate and deliver impactful analytics projects that contribute to company-wide goals.
  

Requirements

• Bachelors or masters degree in computer science Software Engineering or Relevant field is preferred.
  
• Approximately 2-3 years relevant work experience
  
• Cloud Computing: Hands-on experience with AWS (certification is a plus)
  
• Data Modeling: Proficient in creating scalable data models that serve a variety of user needs
  
• Technical Skills: Mastery in SQL and proficiency in programming languages like Python R Java or Scala.
  
• Data Warehousing: Experience designing implementing and managing modern data warehouse solutions such as Snowflake Amazon Redshift BigQuery or similar platforms
  
• ETL Tools: Skilled in building robust ETL processes using tools like Apache Airflow Spark AWS Glue