Title: Data Engineer
Company Name: Itransition Software Bangladesh Ltd
Vacancy: --
Age: At least 18 years
Job Location: Anywhere in Bangladesh
Salary: --
Experience:
3+ years of hands-on experience as a Data Engineer
Strong proficiency in SQL
Proven experience designing, building, and maintaining ETL/ELT pipelines
Solid knowledge of data modeling
Experience with at least one orchestration tool (Azure Data Factory preferred;
SSIS, Apache Airflow, AWS Glue, Talend, or similar)
Experience with at least one relational database (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, or DB2)
Ability to optimize and tune OLAP and OLTP queries
Experience working with cloud platforms (Microsoft Azure preferred)
Familiarity with Git Experience with Python & PySpark
Hands-on experience working in an Agile/Scrum development environment
Upper-Intermediate English or higher (written and spoken)
Nice-to-have:
Exposure to modern cloud data platforms and reporting tools (e.g. Microsoft Fabric, Databricks, Snowflake, Power BI, Tableau)
Experience designing scalable, high-performance data architectures
Knowledge of data governance, data quality, and security best practices
Experience with NoSQL databases (Azure Cosmos DB, Mongo, Cassandra, etc.)
Experience with AI/ML data pipelines or analytics use cases
Experience with unit and integration testing
Experience working in the real estate or similar data-intensive domains
We are seeking an experienced Data Engineer to help scale a growing BI platform in the real estate industry. In this role, you will design and build robust, high-performance data pipelines grounded in strong data modeling principles.
You’ll join a highly skilled development team working with a modern, progressive technology stack, while also exploring emerging technologies, including AI and ML, to continuously enhance the platforms and services we deliver to our customers.
What You'll Do
Design and build ETL/ELT pipelines
Optimize data workflows for performance, reliability, and maintainability
Collaborate with BI analysts and stakeholders
Write and optimize complex SQL & PySpark queries
Implement data quality checks and monitoring to ensure data integrity
Follow and promote data best practices and standards.
Competitive compensation that depends on your qualification and skills.
Career development system with clear skill qualifications.
Flexible working hours aligned to your schedule.
Options to work remotely.
Compensation for medical expenses.
English courses online.
Gym membership compensation.
Internal conferences, workshops and meetups for learning and experience sharing.