Data Engineer
1 week ago
DBiz Solution is a Transformational Partner. Digital transformation is intense. Wed like for you to have something to hold on to, whilst you set out bringing your ideas into existence. Beyond anything, we put humans first. This means solving real problems with real people and providing needs with real, working solutions.
DBiz leverages a wealth of experience building a variety of software to improve our client's ability to respond to change and build tomorrows digital business. Were quite proud of our record of accomplishment. Having delivered over 150 projects for over 100 clients, we can honestly say we leave our clients happy and wanting more.
Using data, we aim to unlock value and create platforms/products at scale that can evolve with business strategies using our innovative Rapid Application Development methodologies.
The passion for creating an impact: -
Our passion for creating an impact drive everything we do. We believe that technology has the power to transform businesses and improve lives, and it is our mission to harness this power to make a difference. We constantly strive to innovate and deliver solutions that not only meet our client's needs but exceed their expectations, allowing them to achieve their goals and drive sustainable growth. Through our world-leading digital transformation strategies, we are always growing and improving. That means creating an environment where each and every one of us has the opportunity to strive together for excellence.
Your new role: - We are seeking individuals who possess an unwavering determination to create a meaningful impact not only for our valued customers, but also within our close-knit team and across DBiz. As a Senior Data Engineer, you will
Python
- Good understanding of Python and its ecosystem, including advanced programming techniques, libraries, frameworks, and best practices
- Areas include
- Connecting and sourcing data from multiple kind of data sources
- Python + Databricks integration
- Coding skills (aware of classes, objects, loops, dictionary, etc)
- Experienced with working with python modules like numpy, pandas, re, scipy, etc.
- Experience in build and package a Python application using the Wheel format
- Python data transformations
PySpark/Databricks
- Pyspark functions and control operations
- Transformations (aggregation, functions, joints)
- Aware of managing Databricks job clusters, performance optimizations
- Secrets Management
Azure
- Familiarity with Azure services
- Azure Key Vaults
- Azure Data Lake
- Azure DevOps
Github
- Github source management
Database
- SQL/ oracle/ PostgreSQL
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