Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- Specialist in Data Engineering leading pipeline optimization at Inmetrics. Collaborating in innovative data-driven projects within a hybrid work environment.
Responsibilities
- Lead the development and optimization of data pipelines, architectures, and platforms.
- Ensure high performance, governance, and availability of information across the company's ecosystem.
- Work in a collaborative, innovative, and results-oriented environment where data is central to the strategy and the driver of intelligent, sustainable decisions.
- Collaborate with the Card team's Data Engineering group to create data pipelines for ingestion and provisioning of card-domain data into Santander Brazil's corporate data lake.
- Master and promote institution-wide concepts, tools, and technologies related to Data Analysis.
- Technically structure and update the current Guidelines and Policies for the Data Analysis area.
- Participate in defining principles for control, management, and specification of various data methods and models.
- Assist in designing, structuring, and optimizing databases.
Requirements
- Databricks skills: Experience working with Apache Spark on Databricks, including building and optimizing data pipelines.
- Experience with PySpark, Python, and Kedro: Strong programming skills in PySpark, Python, and Kedro to develop, debug, and maintain data transformation code.
- Batch and streaming data processing: Knowledge of batch and streaming (messaging) data processing, with the ability to design, implement, and maintain data processing pipelines.
- DevOps knowledge: Familiarity with using Jenkins for continuous integration and delivery (CI/CD), as well as automation of deployment tasks and pipeline management.
- Git: Proficiency in Git for source code version control and effective collaboration in development teams.
- Agile methods: Understanding of principles and practices of agile methodologies, such as Kanban and Scrum, for effective collaboration and project management.
- Orchestration (e.g., Control-M or others): Knowledge of workflow orchestration tools, important for scheduling and controlling workflows.
- Microsoft Azure knowledge: Experience with key Microsoft Azure data services, including Azure Databricks, Azure Data Factory, and Azure Storage Accounts.
- Experience in on-premises environments (Cloudera): Previous experience with the Cloudera platform or other on-premises big data solutions, including Hadoop, HBase, and Hive, is desirable.
- Object-oriented development knowledge: Familiarity with Java is helpful (not required to code, but to interpret).
- Optional certifications: AZ-900 (Microsoft Azure Fundamentals) and DP-900 (Microsoft Azure Data Fundamentals) certifications are preferred and demonstrate solid knowledge of the Azure platform and data concepts.
Benefits
- Bradesco Health Plan (30% copay)
- Bradesco Dental Plan (no employee contribution)
- Life Insurance
- Wellhub (Gympass)
- Childcare assistance
- Assistance for children with special needs
- Payroll-deductible loan
- Private pension plan
- Pet benefit plan
- SESC membership
- Conexa telemedicine
- Expense allowance
- Meal and food vouchers
- Multi-benefit card
- Medical plan upgrade
- Extended maternity and paternity leave
- Support program for pregnant employees
- Newborn gift basket and the book "Acontecia quando eu nascia"
- Professional development: courses available through the internal university
- 100% remote or hybrid work, depending on project requirements.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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