Sr.cloud Data Engineer

hace 1 día

Ciudad de México CDMX Encora A tiempo completo

**Important Information**

Experience: + 7 years

Job Mode: Full-time

Work Mode: Work from home

**Job Summary**

As a Cloud Data Engineer specializing in Fabric OneLake, you will be responsible for designing, building, and managing our cloud-based data infrastructure. You will play a critical role in the development and optimization of our data lake, ensuring scalability, reliability, and security.

**Responsibilities and Duties**
- Design and implement scalable and secure data solutions using Fabric OneLake technology.
- Developing and maintaining scalable data pipelines and architectures that support data ingestion, processing, storage, and delivery across multiple sources and destinations.
- Collaborate with IT and business teams to understand data needs and deliver high-quality scalable solutions.
- Develop and maintain data pipelines, architectures, and data sets.
- Ensure optimal data delivery architecture for end-to-end data flow from ingestion to analytics.
- Work with stakeholders to assist with data-related technical issues and support data infrastructure needs.
- Create data tools for analytics and data scientist team members to assist them in building and optimizing our product.
- Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.

**Qualifications and Skills**
- A bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.
- Proficiency in SQL and Python, and familiarity with other programming languages and frameworks such as Scala, R, or Spark.
- Experience with cloud-based data services and platforms such as Azure, AWS, or GCP, and with data warehouse and ETL tools such as Snowflake, SSIS, or Informatica.
- Knowledge of data modeling, data quality, data governance, and data security best practices and standards.
- Proven experience with Azure DataBricks, Azure Data Factory, and other Azure services.
- Strong analytic skills related to working with unstructured datasets.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with data pipeline and workflow management tools.
- Experience with Azure SQL DB, Cosmos DB, or other database technologies.
- Experience with stream-processing systems.
- Strong project management and organizational skills.
- Strong communication, collaboration, and problem-solving skills, and a passion for learning new technologies and methodologies.

**Preferred Tech Skills**:

- Experience with Fabric OneLake development and management.
- Knowledge of networking within Azure Data Bricks, including VNET settings and firewall rules.
- Ability to set up linked services within Azure Data Factory and execute ADB notebooks.
- Familiarity with on-premise to cloud data migration and managing data across hybrid environments.
- **Cloud Platforms**: Proficient in Azure, including Azure DataBricks, Azure Data Factory, and Azure SQL Data Warehouse.
- **Programming Languages**: Strong command of Python, Scala, and SQL.
- **Big Data Tools**: Experience with Hadoop, Spark, Kafka, and other big data technologies.
- **Data Storage**: Knowledge of various data storage solutions like Azure Blob Storage, Azure Data Lake Storage, and Cosmos DB.
- **Data Processing**: Familiarity with data processing tools such as Azure Stream Analytics and Azure HDInsight.
- **DevOps Tools**: Experience with CI/CD pipelines, using tools like Jenkins, Azure DevOps, or GitHub Actions.
- **Data Security**: Understanding of data security practices, including encryption, data masking, and access control within cloud environments.
- **Monitoring and Logging**: Proficiency in using monitoring tools like Azure Monitor and log analytics solutions like Azure Log Analytics.

Our IT and business objectives require a cloud data engineer who can build NFM Data Platform and execute reliable and adaptable solutions that allow us to make data-driven decisions in near real time. This role will assist in building and achieving a single source of truth for the company, fostering data accessibility and distribution of data.

**About Encora**

Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

**At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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