Senior Data Engineer

2 weeks ago

Hanoi, Vietnam MHS Full time

Founded in 1999, MHS is a full-service provider of innovative material handling systems that solve the challenges of distribution and fulfillment operations. We build, engineer and maintain systems for some of the biggest companies in the world, including UPS, FedEx, Walmart, Amazon and others. MHS is already one of the 10 largest material handling system suppliers worldwide, and we only expect to continue growing. We’re looking for top talent to be part of the journey.

The Data Engineer is a key member of the Fortna Warehouse Execution System (WES) data team that design usable data models and build robust & dependable data pipelines where both batch & streaming process are leveraged to meet the latency requirements for the business. This position plays a vital role in building the Data Platform, Business Intelligence, and Data product capability of the FortnaWES software product.

PRIMARY RESPONSIBILITIES INCLUDE- Evaluate business and technical domains to produce representative logical and physical data models.- Build data models with the flexibility to change when business requirements change.- Reconcile multiple logical source models into a single, logically consistent enterprise model.- Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth and improve the product experience- Develop data stores, including warehouses, data lakes, data marts, etc., to support the BI and operational research initiatives.- Build scalable data pipelines leveraging orchestration framework- Improve data quality by researching, using & improving tools to automatically detect issues- Define modeling standards, guidelines, best practices and approved modeling techniques.- Employ initiative, professionalism, and self-discipline in daily interactions.

REQUIRED QUALIFICATIONS- Seven-plus years of relevant industry experience- Bachelor’s and/or master’s degree, preferably in Computer Science, or equivalent education and experience- Proven capability for managing data migrations between software products and custom apps- Experience with pipeline tools such as Nifi, Airflow- Experience in developing, deploying and optimizing data stack (both cloud and on-prem data solution) including but not limited to dbt, Airflow, Airbyte, Spark- Experience in data visualization, Business intelligence and insights presentation via BI and dashboard tool such as Tableau, Power BI, Looker, Metabase, Superset is a plus- Experience with Extract-Transform-Load (ETL), Extract-Load-Transform (ELT), and Discover-Access-Distill (DAD) processes for batching and streaming use cases- Extensive expertise in multidimensional data modeling, start schemas, snowflakes, normalized and de-normalized modes, and Kimball methodologies- Strong negotiation and consensus building abilities- Exceptional ability to communicate in a written, spoken, or visual manner at all personnel levels

Desired qualifications:
- Demonstrated real-world execution implementing data warehouses and data lakes- Familiarity working with open-source Linux-based technologies- Verifiable record of building an enterprise analytics capability from greenfield- Fluent in Vietnamese and English- Able to travel internationally on an occasional basis

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