Senior Data Developer
Há 17 horas
Hey everyone This is Thai Viapiana from CI&T's Talent Attraction Team :) We're growing fast and seeking a talented, motivated Databricks Senior Data Engineer to join our team. You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients.
Key Responsibilities: Design and Develop Data Pipelines: Create robust, scalable data pipelines using Databricks, Apache Spark, and SQL to transform and process large datasets efficiently. Data Architecture: Collaborate with data architects to design data models and architecture that support data analytics and machine learning applications. Performance Optimization: Monitor and optimize the performance of existing data pipelines and workflows to ensure high throughput and low latency. Collaboration with Stakeholders: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical specifications. Data Quality and Governance: Implement data quality checks and governance practices to ensure data consistency, accuracy, and compliance. Documentation and Best Practices: Maintain comprehensive documentation for data pipelines and processes, and contribute to the establishment of best practices within the team. Mentorship: Provide guidance and mentorship to junior team members, fostering a culture of learning and collaboration.
Requirements for this Challenge: Experience: 5+ years of experience in data engineering or a related field, with a focus on data pipelines and ETL processes. Soft Skills: Excellent communication in English and Portuguese, with the ability to work effectively in a team-oriented environment and engage with clients. Technical Skills: Proficiency in Databricks, Apache Spark, SQL, and Python (or Scala). Cloud Technologies: Experience with cloud platforms such as Azure, AWS, or GCP, particularly related to data storage and processing solutions. Big Data Technologies: Experience with additional big data technologies such as Hadoop, Kafka, or Airflow. Data Modeling: Strong understanding of data modeling concepts and experience with relational and NoSQL databases. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues. Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
Nice to Have: Certifications: Databricks certification (e.g., Databricks Certified Developer) or other relevant certifications. Machine Learning: Familiarity with machine learning frameworks and concepts, and experience integrating data engineering with machine learning workflows. Data Visualization: Knowledge of data visualization tools (e.g., Tableau, Power BI) to help communicate insights effectively. Agile Methodologies: Experience working in Agile development environments and familiarity with tools such as JIRA or Confluence.
#LI-THAI23 Our benefits:
-Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
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