Data Engineer (Azure/AWS)
Curated • Confidential • Opportunity-Driven
📍We are looking for an experienced Data Engineer (Azure/AWS) to design, build, and maintain scalable data pipelines and cloud-based data platforms. You will work closely with analytics, engineering, and business teams to transform raw data into reliable, high-quality datasets that power reporting, analytics, and decision-making.
This role is ideal for engineers who enjoy working with large-scale data, cloud infrastructure, and modern data engineering practices.
What You’ll Do
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- Develop and manage cloud-based data solutions on Azure and/or AWS
- Work with structured and unstructured data from multiple sources
- Optimize data storage, performance, and reliability
- Ensure data quality, validation, and monitoring
- Collaborate with data analysts, data scientists, and backend engineers
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Implement best practices for security, governance, and compliance
Must-Have Skills
- Strong experience as a Data Engineer
- Hands-on experience with Azure or AWS data services
- Strong SQL skills and experience with relational databases
- Experience with data pipelines, ETL/ELT tools, and workflow
- Familiarity with data warehousing concepts
- Proficiency in Python or similar programming language
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Experience with Git and version control
Nice-to-Have Skills
- Nice-to-Have Skills
- Knowledge of cloud-native data services (Azure Data Factory, AWS Glue, Redshift, BigQuery, etc.)
- Experience with streaming data (Kafka, Kinesis, Event Hubs)
- Understanding of data governance and security best practices
- Exposure to CI/CD for data pipelines
What's great in the job?
- Work on large-scale, real-world data systems that power business decisions test
- Build and manage modern cloud data platforms on Azure and AWS
- High ownership over data pipelines, architecture, and performance
- Collaboration with data analysts, data scientists, and engineering teams
- Clean engineering processes with focus on scalability and reliability
- Continuous learning in cloud, big data, and modern data tools
- Challenging problems in a fast-growing, data-driven environment
Our Product
What We Offer
Every data engineer plays a key role in transforming raw data into valuable insights. Your work directly impacts analytics, reporting, and decision-making across the organization. We provide an environment where engineers can focus on quality, performance, and long-term growth.
Perks
Full-time position with long-term stability
Competitive salary based on experience and expertise
Recognition for technical contribution and impact
Trainings
Hands-on exposure to cloud data technologies
Continuous learning through real production systems
Opportunities to deepen expertise in data engineering and cloud platforms
Work Environment
Engineering-first, data-driven culture
Autonomy in technical decisions
Collaboration across analytics, product, and engineering teams
Work Comforts
Mid / Senior Data Engineer আলাদা version
Azure-focused / AWS-focused text
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