Application Deadline
June 30, 2026 (Early applications will be given preference)
Job Location
Gulshan-1, Dhaka
Number of Vacancies: 1
Who are we looking for?
We are looking for dynamic individuals having the following qualities:
Educational Requirements
B.Sc. in Computer Science & Engineering or related field from any reputed university.
Experience Requirements
The ideal candidate will have 8 – 12+ years of professional experience with DWH development.
Overview of the Responsibilities
- Design and maintain data warehouses and data lakes for both structured and unstructured data.
- Build and optimize ETL/ELT pipelines using batch and streaming data integration methods.
- Lead the implementation of data models optimized for analytics, reporting, and machine learning.
- Define and enforce data governance, data quality, and metadata management practices.
- Implement appropriate tools and technologies for data ingestion, processing, storage, and access.
- Monitor and tune system performance by ensuring high availability and disaster recovery for data platforms.
- Collaborate with cross-functional teams including software engineering, analytics, and data science.
Key Requirements
- Proven experience in any Data Warehouse Development (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse).
- Mandatory experience with any cloud platforms (Azure, AWS, GCP) and their data services (e.g., S3, Glue, Dataflow, Databricks, BigQuery).
- Mandatory experience in some big data technologies like Apache Spark, Apache Flink, Kafka Streams, or AWS Kinesis. etc.
- Strong experience in OLTP, OLAP databases, and data modeling best practices (e.g., PostgreSQL, SQL Server, Oracle, MySQL).
- Experience with batch or real-time ETL/ELT tools such as Azure Data Factory, Apache NiFi, Talend, Informatica, or dbt.
- Expert in modern programming/scripting languages (e.g., Python, Scala, Java, Go, SQL).
Nice To Have Requirements
- Knowledge of CI/CD pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions).
- Familiarity with data science, AI/ML workflows, and platforms.
- Exposure to DataOps and MLOps practices.
- Experience with containerization and orchestration (e.g., Docker, Kubernetes, Airflow).
- Experience with infrastructure-as-code tools (e.g., Terraform or CloudFormation).
What's in it for you?
- Competitive salary.
- A friendly work environment.
- Weekend: Saturday & Sunday.
How would you apply?
If you believe you are the right candidate, then send your CV to career@relisource.com with this exact line as email's subject “DEA_10312025” by June 30, 2026.
IMPORTANT: Resume attached without above subject line will not be processed. Your CV must include your photograph.
