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Data Engineer (Azure/AWS)

Curated Confidential Opportunity-Driven

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--iGlobal Services--

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. 

Customer Relationship
Personal Evolution
Autonomy
Administrative Work
Technical Expertise

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 
  • 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 
  • 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
Our Product

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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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