Data Engineer

Who We Are

Your Impact:

We are looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. You will be responsible for ensuring reliable data flow across multiple systems, enabling analytics, business intelligence, and AI/ML applications. This role involves working closely with analysts, data scientists, and product teams to provide clean, well-structured, and accessible data

What You'll Do:

• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
• Collaborate with stakeholders and Product Managers to understand data requirements, custom reporting and deliver scalable solutions.
• Build and optimize data warehouses, data lakes, and streaming systems.
• Ensure data quality, consistency, and governance across all platforms.
• Monitor, troubleshoot, and improve data pipeline performance.
• Implement best practices for data security and compliance.
• Work with cloud platforms (AWS, GCP, Azure) and orchestration tools.

Minimum Qualification Required:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 2–4 years of experience in data engineering or related roles.
• Strong knowledge of SQL and relational databases.
• Solid understanding of data modeling, ETL concepts, and APIs.

Good to have:

• Hands-on experience with Big Data technologies (Spark, Hadoop).
• Hands-on experience in Python for data processing.
• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift).

Why Choose Osmos?

• Startup Energy, Enterprise S

  cale: Fast-paced innovation with global ambition

• Revolutionize Retail Marke

  ting: Be at the forefront of AI-powered solutions

• Meaningful Contribu

  tion: Directly impacts major brands' success

• No Red

  Tape: Autonomy and empowerment to drive results

• Growth &

  Fun: Continuous learning in a vibrant, collaborative culture

• Competitive Rew

  ards: We value your expertise and offer strong compensation

Ready to champion data engineering? Let's chat.