Senior Data Engineering Analyst

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🕒 April 30

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Inmetrics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Inmetrics is a Brazilian technology consulting firm that specializes in digital efficiency and automation. With over 20 years of experience, it provides services such as quality engineering, performance testing, and cloud solutions, effectively integrating artificial intelligence across all its offerings. The company partners with various industries, ranging from banking to retail, ensuring that organizations optimize their operations and enhance their results through digital innovations.

📋 Description

• If you are passionate about data, architecture and performance, and enjoy transforming large volumes of information into efficient and scalable structures, this role is for you! • We are looking for a Data Engineering Analyst to develop, maintain and optimize data pipelines and architectures, ensuring that information flows with quality, security and availability across our systems and analytical products. • Here, you will work in a collaborative, dynamic, results-oriented environment where data is the foundation for strategic decisions and the company’s technological innovation.

🎯 Requirements

• The professional will be responsible for designing and implementing complex solutions across multiple systems, applying best practices in architecture, code and public cloud. • Will act as a technical reference, removing impediments, supporting critical decisions and ensuring quality through testing, observability and continuous monitoring. • Additionally, should lead end-to-end deliveries, interact with external teams, respond quickly to incidents and act proactively to prevent failures. • Strong proficiency in Python with emphasis on data manipulation libraries (PySpark, Pandas, etc.). • Experience with Databricks for developing, running and optimizing data pipelines. • Knowledge of Delta Lake, including data versioning, time travel and table optimization. • Experience with modern data architectures (Data Lakehouse, Medallion Architecture – Bronze, Silver, Gold). • Advanced SQL skills, including building complex queries, data modeling and performance tuning. • Familiarity with public cloud providers (Azure, AWS or GCP), especially services integrated with Databricks. • Experience with orchestration of data pipelines (Airflow, Azure Data Factory, or equivalent). • Software engineering best practices applied to data: version control, testing, monitoring and observability. • Ability to analyze business requirements and translate them into scalable, efficient data solutions. • Proactive approach to troubleshooting and performance tuning, ensuring data quality, reliability and governance. • Experience working on projects. • Responsible for features, ensuring delivery stability through the implementation of tests and observability. • Capable of leading deliveries and upskilling team members. • Able to proactively identify issues and interact with external teams involved in the project. • Able to plan and execute entire features, breaking them into smaller tasks, managing execution and sharing progress with the team. • Able to evaluate and discuss technical choices (pros and cons).

🏖️ Benefits

• Bradesco Health Plan (30% co-payment); • Bradesco Dental Plan (no employee contribution); • Life Insurance; • Wellhub (Gympass); • Daycare Allowance; • Exceptional Child Allowance; • Payroll-deductible Loan; • Private Pension; • Pet Care Plan; • SESC; • Conexa Telemedicine. • Financial Allowance; • Meal / Food Voucher; • Multi-benefits Card; • Medical plan upgrade. • Family-friendly company: extended maternity and paternity leave; • INMaterna Program: support program for pregnant employees; • Birth kit and the book "It Happened When I Was Born"; • Professional Development: courses available through the internal university; • 100% remote or hybrid work, depending on project requirements.