Data Engineer

Job Description

Title: Data Engineer

Company Name: SSL Wireless

Vacancy: --

Age: Na

Job Location: Dhaka

Salary: Negotiable

Experience:

• 2 to 3 years

• 2 to 3 years

Technical Expertise:

• Data Warehousing: Concepts, architecture, OLAP, and operational knowledge

• Data Modelling: Star & Snowflake schema design; dimensional modelling using DBT

• Pipeline Development: End-to-end batch and streaming pipeline construction

• Programming Languages: Python (primary), SQL (advanced)

• ETL & Data Frameworks: Apache Spark, Kafka, Flink, Airflow, DBT

• Performance Optimization: Large dataset handling, query tuning, and pipeline profiling

Preferred (Nice-to-Have) Skills:

• Data Warehouse Engines: Experience with Doris, ClickHouse, and Druid

• Data Lake Technologies: Familiarity with Apache Iceberg and Hudi for open table format management

• Change Data Capture (CDC): Hands-on experience with Debezium and MySQL binlog-based CDC patterns

• Data Quality & Validation: Knowledge of frameworks such as Great Expectations, Soda, or similar tools

• Data Security & Governance: Understanding of tokenization, PII masking, and compliance standards (e.g., DPO 2025)

• Containerization & Deployment: Experience with Docker and Kubernetes for pipeline deployment

Education:

Bachelor's degree — Computer Science, Engineering, or related field

Experience:

2–3 years in Data Engineering or closely related roles

The Data Engineer owns the end-to-end data pipeline from raw ingestion to the warehouse. This role is the backbone of SSL Wireless's data platform — ensuring data flows reliably, correctly modelled, and meets the quality standards required by analysts and ML teams.

Key Responsibilities:

• Design, build, and maintain end-to-end data pipelines for ingestion, processing, and storage

• Develop and optimize ETL/ELT workflows for structured and unstructured data sources

• Implement efficient data models and schema designs for data warehousing (Star / Snowflake)

• Work with large-scale datasets to ensure data quality, reliability, and performance

• Collaborate with data analysts, AI/ML teams, and business stakeholders across functions

• Monitor and troubleshoot data pipeline issues; optimize latency and throughput

• Enforce data governance, consistency, and security best practices across all pipelines

• Contribute to the design of scalable big data architectures on on-premise infrastructure

• Medical allowance,Weekly 2 holidays,Mobile bill
• Salary Review: Yearly
• Festival Bonus: 2

* Attractive salary as per industry best practice.

* Weekly medical consultancy.

* Annual leave encashment.

* Congenial & friendly working environment.