Job Function: Software & Cloud The role:
**Do you want to develop your career in a key area for the coming years?**
If so, keep reading. We are looking for someone to join our Data & AI team. We aim to expand our expertise in any of the major hyperscalers and need someone who enjoys developing data projects.
**What will be your responsibilities?**:
You will participate in data and artificial intelligence projects. Some of your key tasks will include:
- ** Developing Data Solutions**: Collaborate with internal teams and stakeholders to understand business requirements and develop effective, optimized, and scalable data solutions.
- ** Implementing Data Pipelines**: Build robust data pipelines using Azure Data Factory, Databricks, Azure Fabric, or similar technologies, as well as advanced SQL and Python, with a focus on PySpark.
- ** Optimizing Performance**: Identify and address performance bottlenecks in pipelines and databases, implementing optimization techniques to enhance efficiency and scalability.
- ** Automating Processes**: Develop scripts and automation tools for deployment, monitoring, and continuous maintenance of data pipelines and processes, improving operational efficiency.
- ** Collaborating with Cross-Functional Teams**: Work closely with development teams, data analysts, data scientists, and other stakeholders to understand their data needs and provide effective, business-driven solutions.
- ** Providing Technical Support**: Offer technical guidance and support to team members in designing, developing, and maintaining cloud-based data solutions.
- ** Proactive Learning**: Stay up to date with the latest trends and technologies in data engineering and cloud computing, participating in training and certification programs as needed.
- ** Contributing to a Data-Driven Culture**: Promote a data-driven culture within the company, encouraging best practices in data management and usage for informed decision-making.
What we need to see from you:
**What are we looking for in you?**:
If you have **3 to 5 years of experience** working in the field of **data engineering**, we are looking for you!
We need someone with a strong **technical background** in **massive data processing**, particularly in **AI projects and data lakes/data warehouses**, but who also has a good ability to understand **business functional needs**.
**What do we expect from you?**:
- ** Experience in building, optimizing, and maintaining efficient data pipelines** using services like **Azure Data Factory, Databricks, BigQuery, AWS Glue, Fabric, DBT,** or similar technologies for data ingestion, preprocessing, transformation, and enrichment. Experience with analytics technologies (Tableau, Looker Studio, Power BI, etc.) is a plus.
- ** Demonstrable experience (preferably 5 years) in a similar role as a Data Engineer**, ideally with a focus on **public cloud platforms** (AWS, GCP, and/or Azure).
- ** Deep knowledge of data lifecycle services and tools** related to AI in **at least one** of the public clouds (AWS, GCP, and/or Azure).
- ** Experience working with scalable, high-performance big data architectures and Data Governance**—preferably in a **digital transformation context**.
- ** Strong programming skills** in languages such as **SQL and Python** (with PySpark and/or Pandas).
- ** Excellent problem-solving skills, good programming practices, and attention to detail**.
- ** Ability to work independently and collaboratively** in a dynamic and proactive environment.
- ** Relevant certifications** in AWS, Azure, GCP, and/or Databricks will be highly valued in the selection process.
- ** Experience working on Generative AI projects** is a plus.
**What do we highly value?**:
- Experience in public cloud platforms (AWS, Azure, GCP).
- Strong soft skills, including oral and written communication.
- Proactive, transparent, and leadership-oriented profiles.
- High level of spoken and written English.
Why SoftwareOne?:
Accommodations:
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.