Senior Executive - Core Data Engineering

Work on Nagad`s core data platforms powering fintech operations. Gain exposure to large-scale transactional & analytical systems. Ensure data accuracy, integrity & reliability. Fast-paced growth, competitive pay & benefits.

• Design, develop, and maintain scalable batch and near real-time data pipelines to support analytics, reporting and advanced use cases.
• Define and implement data architecture standards including layered data models for raw, refined, and curated datasets.
• Build and manage end-to-end data ingestion, transformation, and delivery workflows across multiple data sources.
• Ensure consistency, quality, reliability, and performance across all data pipelines.
• Design and maintain analytics-ready and ML-ready datasets, including structured and semi-structured data.
• Establish and maintain data lineage, traceability, and documentation from source to consumption.
• Implement effective data orchestration, dependency management, and workflow scheduling.
• Design and maintain dimensional data models to support BI, analytics, and reporting needs.
• Collaborate with BI, Analytics, AI/ML, and Assurance teams to align data outputs with business requirements.
• Ensure adherence to data governance, security, and access control standards.

Bachelor’s degree in Computer Science or relevant subjects with very good command over programming skills.

• At least 3 years
• The applicants should have experience in the following business area(s): Financial Technology (Fintech) Startup

Skills Requirement:

• Strong proficiency in Python, Scala, and SQL for large-scale data processing, transformation, and analytics.

• Hands-on experience with distributed data processing like (Apache Spark/ Flink & Kafka) and streaming frameworks for batch and near real-time pipelines.

• Solid understanding of ETL / ELT concepts, data transformation practices and analytics engineering (e.g., dbt)

• Strong knowledge of data lake and data warehouse architecture including medallion (Bronze / Silver / Gold) models

• Experience working with modern table formats, metadata, and catalog-driven storage (e.g., Parquet, Iceberg)

• Hands-on experience with distributed and object storage systems (e.g., HDFS, S3 or equivalent)

• Experience integrating relational and NoSQL databases and handling semi-structured data (Oracle, PostgreSQL, MongoDB, JSON)

• Proficiency in data orchestration and workflow management (Airflow, Dagster, Mage AI or equivalent)

• Experience with containerization and deployment using Docker and Kubernetes

• Proficiency in shell scripting for automation and operational support

Apache Spark, Big Data Handling, Data processing, Data Warehousing, Dockers and Kubernetes, ETL, Kafka, Python, Shell Scripting, SQL

• Provident fund,Mobile bill,Insurance,Weekly 2 holidays
• Salary Review: Yearly
• Festival Bonus: 2

• Employment status: Full Time
• Workplace: Work at office
• Vacancies: 1
• Salary: Negotiable
• Job location: Dhaka