We are looking for an experienced and highly skilled Software Engineer(Data) to design, implement, and optimize large-scale data systems. The ideal candidate has a proven track record of building efficient data pipelines, managing big data systems, and working collaboratively with cross-functional teams to deliver data-driven solutions.

Responsibilities

• Design and maintain scalable, reliable data pipelines and workflows.
• Design data models and implement schemas to support business objectives.
• Monitor and optimize database performance and query efficiency.
• Collaborate with senior team members to design data models and schemas.
• Perform data cleansing, preparation, and validation to ensure data quality.
  
  

Required Skills/Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Technical Skills:
  
  

○ Advanced proficiency in Python and SQL.

○ Strong experience with data processing tools/frameworks like Pandas, Polars, Apache Spark, etc

○ Hands-on expertise with cloud platforms (e.g., AWS, GCP, Azure).

○ Proficiency in ETL tools and workflow orchestration tools like Apache Airflow.

○ Have solid experience in data modelling.

• Experience: 2+ years of experience in data engineering or related fields.
• Soft Skills:
  
  

○ Strong analytical skills and the ability to troubleshoot complex issues.

○ Leadership skills to guide junior team members and drive team success.

Preferred Skills/Qualifications

• Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
• Technical Skills:
  
  

○ Experience with containerization tools like Docker.

○ Knowledge of streaming data technologies (e.g., Kafka).

○ Experience in Snowflake/Databricks.

• Experience: 2+
  
  

Key Performance Indicators

• Deliver highly optimized and scalable data pipelines within defined timelines.
• Should be able to design efficient data models.