As a Data Engineer, you
will play a key role in designing, building, and maintaining the data
infrastructure that powers our products and drives business insights. This is
an opportunity to join a fast -moving, innovation -driven team where your work
will directly impact how we leverage data to serve global enterprises.

 
Key Responsibilities:

• Design, build, and maintain
  scalable data pipelines and ETL/ELT processes.
  
• Develop and optimize complex
  SQL queries, stored procedures, and database structures.
  
• Create and manage data models,
  data warehouses, and data lakes.
  
• Ensure data quality, integrity,
  and availability across systems.
  
• Collaborate with analytics,
  product, and engineering teams to support data -driven decisions.
  
• Monitor and troubleshoot data
  pipeline performance and reliability.
  
• Document data architecture,
  processes, and best practices.
  

Requirements

• 3+ years of experience as a
  data engineer or similar role.
  
• Expert -level proficiency in SQL
  (complex queries, performance tuning, database design).
  
• Strong proficiency in Python
  for data processing and automation.
  
• Solid understanding of data
  modeling, data warehousing concepts, and ETL/ELT methodologies.
  
• Strong problem -solving skills,
  attention to detail, and ability to work independently.
   
  

Nice to Have:

• Experience with cloud data
  platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).
  
• Familiarity with data
  orchestration tools (Airflow, dbt, Luigi, or similar).
  
• Knowledge of data visualization
  tools (Tableau, Power BI, Looker).
  
• Background in working with
  large -scale datasets and big data technologies.