Founded in 2021, Polygon Technology is driven by a bold vision—Chasing Infinity. We are home to passionate innovators who believe technology should not only solve today’s challenges but also unlock tomorrow’s possibilities.

We specialize in building solutions that are scalable, future-ready, and impactful, empowering businesses to grow with confidence, convenience, and collaboration. Our work goes beyond delivering projects—we craft digital experiences that inspire trust and accelerate transformation.

🌍 50M+ Users Impacted
🚀 100+ Projects Delivered
🤝 100+ Happy Clients

At Polygon, infinity isn’t just a concept—it’s our commitment to pushing boundaries, exploring possibilities, and creating technology without limits.

We are hiring an experienced Data Engineer (4–6 years) to design and implement scalable, reliable, and high-performance data infrastructure. This role requires deep technical expertise in building data pipelines, ETL processes, and cloud-based architectures that empower analytics and advanced decision-making across the organization.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines that ensure timely and accurate data flow from diverse sources.

• Data Quality & Governance: Implement data validation, monitoring, and quality frameworks to ensure accuracy, consistency, and reliability of business-critical datasets.

• Storage & Optimization: Optimize data storage and retrieval across relational databases, warehouses, and big data ecosystems.

• Big Data Engineering: Work with distributed data processing systems such as Hadoop, Spark, and Kafka to handle large-scale data ingestion and transformation.

• Cloud Data Platforms: Leverage AWS (Redshift, EMR), GCP (BigQuery, Dataflow), or Azure (Synapse, Databricks) for data storage, processing, and orchestration.

• Collaboration: Partner with Data Analysts, Data Scientists, and Product Teams to deliver clean, structured, and well-documented datasets for analytics and machine learning use cases.

• Performance & Scalability: Continuously improve pipeline efficiency, cost optimization, and fault tolerance in cloud environments.

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related discipline.

• 4–6 years of proven experience as a Data Engineer, with strong contributions in building production-grade data systems.

• Strong proficiency in SQL (query optimization, performance tuning, stored procedures).

• Hands-on experience with ETL/ELT tools (Airflow, dbt, Talend, Informatica, or similar).

• Proficiency in big data technologies: Hadoop, Spark, Kafka, or Flink.

• Experience with cloud data warehouses and services such as Redshift, BigQuery, or Snowflake.

• Strong knowledge of Python, Scala, or Java for data engineering tasks.

• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git).

• Excellent problem-solving skills with the ability to design solutions for complex data challenges.

• Strong communication skills, with the ability to collaborate across engineering and business teams.

Perks & Benefits

• ✅ Flexible working hours
• ☕ Unlimited tea and coffee
• 🍱 Fully subsidized lunch and snacks
• 🕹️ Afternoon playtime to refresh your mind
• 🌿 Green and eco-friendly campus
• 📆 2 weekly holidays (Friday & Saturday)
• 🏖️ 35+ days of yearly leave
• ✈️ Company-sponsored yearly tour
• 📈 Annual salary increments (twice a year)
• 🎉 2 Festival Bonuses

Additional Information

• 📍 Job Location: On-site, Banani, Dhaka
• 🕒 Working Days: Sunday to Thursday
• 💼 Employment Type: Full-Time
• 💰 Salary: Competitive, as per company policy