The Data Engineer – Azure cloud is responsible for building and maintaining scalable data pipelines and analytics solutions on Azure. The role involves building enterprise-grade ETL/ELT pipelines, optimizing big data workloads, implementing data governance best practices, and supporting cloud-based analytics initiatives. The engineer works closely with architects, Databricks engineers, BI analysts, and data scientists to deliver curated, reliable datasets across various business domains.
Department:
Data Services & Solutions
Employment Type:
Full-time
Experience:
3+ Years
Workplace Type:
On-site
Number of Vacancies:
1
Location:
Dhaka
Deadline:
15 September 2026
Key Responsibilities
- Design and develop scalable data pipelines using Azure Databricks.
- Build and maintain ETL/ELT workflows using Azure Data Factory (ADF).
- Develop data processing solutions using PySpark, Spark SQL, and Delta Lake.
- Ingest and process structured, semi-structured, and unstructured data from multiple sources.
- Optimize Databricks jobs, clusters, notebooks, and Spark workloads for performance and cost efficiency.
- Implement Medallion Architecture (Bronze, Silver, Gold layers).
- Manage data storage and ingestion using Azure Data Lake Storage Gen2 (ADLS Gen2).
- Integrate APIs, databases, and cloud services into data platforms.
- Implement CI/CD pipelines and version control for Databricks projects.
- Monitor, troubleshoot, and resolve pipeline and job execution issues.
- Collaborate with data analysts, BI teams, and business stakeholders to deliver analytics solutions.
- Ensure data quality, security, and governance standards are maintained.
- Support cloud migration and modernization initiatives.
Required Skills & Experience
Technical Skills
- Total Years of Experience: 3+ years
- Strong hands-on experience with Azure Databricks.
- Strong proficiency in PySpark and Spark SQL.
- Experience with Azure Data Factory (ADF).
- Experience with ADLS Gen2 and Delta Lake.
- Good understanding of data warehousing concepts and ETL/ELT processes.
- Experience with SQL and relational databases.
- Knowledge of Azure ecosystem services.
- Experience with REST API integration.
- Familiarity with Git-based version control systems.
- Understanding of workflow orchestration and scheduling.
Professional Competencies
- Strong analytical and problem-solving skills
- Proficient in English communication (verbal and written)
- Good communication and stakeholder management
- Ability to work independently and collaboratively
- Strong troubleshooting and optimization mindset
Interview Steps
- Technical/Functional Interview (Onsite)
- HR Interview (Online)
- Offer
Apply Now Department:
Data Services & Solutions
Employment Type:
Full-time
Experience:
3+ Years
Workplace Type:
On-site
Number of Vacancies:
1
Location:
Dhaka
Deadline:
15 September 2026
Apply Now 