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Top Data Engineer Jobs in Fortaleza
As a Data Engineer at Oowlish, you will design, implement, and optimize data pipelines and ETL processes for international clients. You will leverage your expertise in data modeling, BI tools, and analytics to generate insights and support marketing strategies, while collaborating with diverse teams in a remote environment.
The Data Engineer is responsible for collaborating with stakeholders to understand and communicate data platform requirements, architecture design, and governance. They will handle tasks involving data lakes, warehouses, ETL frameworks, and data manipulation using various tools and languages, while ensuring data security and governance.
As a Senior Data Engineer, you will design and optimize ETL/ELT pipelines, maintain data warehouse schemas, and implement data models. You will collaborate with stakeholders to define data requirements and ensure data quality and integrity while leveraging various cloud data platforms.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
As a Strong Middle Data Engineer, you will develop and enhance data pipelines and platforms while simplifying existing tools and managing technical debt. You will collaborate with senior engineers and product management to drive improvements and facilitate decision-making.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Data Engineer at Nimble Gravity, you will architect and maintain data pipelines, utilize dbt for data transformation, craft SQL queries, design database schemas, manage CI/CD for data systems, and ensure documentation and performance optimization of data infrastructure.
The Data Engineer will develop, maintain, and optimize data pipelines and workflows to support Machine Learning (ML) research. Responsibilities include implementing scalable data architectures, collaborating with researchers, working with databases, writing efficient code, and ensuring data integrity and performance.
As a Data Engineer at WEX, you will build and maintain data transformations using SQL and dbt, collaborate with stakeholders and teams, ensure data integrity, and support business analytics efforts while participating in a high-performing scrum team.
The role involves collaborating with stakeholders to understand data requirements, designing and maintaining a Data Lakehouse using AWS and Azure, implementing CI/CD pipelines, and developing monitoring systems for performance. It emphasizes learning containerization and orchestration technologies while solving challenging problems in a supportive team environment.
As a Software Engineer at Black Crow AI, you will design and develop scalable data pipelines, collaborate with cross-functional teams, manage data ingestion and orchestration, troubleshoot performance issues, and contribute to continuous improvement processes, all while maintaining secure coding practices.
The Senior Data Engineer will lead the design and development of data solutions to support analytics, develop ETL/ELT processes, and ensure data governance. Responsibilities include collaborating with various teams, designing data warehouses, and mentoring junior members.
Design, build, modify, and support data pipelines using Microsoft Azure data PaaS services like DataBricks and PowerBI in a medallion architecture setting. Mentor technical staff and manage the technical delivery of a significant part of the ecosystem.
As a Senior Data Engineer at phData, you will develop end-to-end technical solutions for production, ensuring performance, security, and scalability. This role requires expertise in various cloud platforms and programming languages. You will also play a key role in client communications and detailed documentation of solutions.
The Mid Data Engineer will troubleshoot and resolve complex data pipeline issues, collaborate with cross-functional teams, and develop data transformation workflows using DBT and Apache Airflow. Responsibilities include managing DAGs, performing data modeling, and utilizing cloud platforms for data processing.
As a Data Engineer, you will design and implement data-driven strategies, create data transformation workflows, and ensure data integrity for stakeholders. Collaborating with a scrum team, you will work on data pipelines using SQL and Python while leveraging tools like Informatica and Snowflake.
The Mid-level Backend Software Engineer will be responsible for building and maintaining system components for the Data Platform, facilitating efficient data solutions for data engineers and analysts. The role involves advocating for software quality and performance improvements, collaborating with team members on efficiencies, and supporting a culture of wellbeing and teamwork.
As a Tech Lead Data Engineer and Analyst, you will design and maintain data models and pipelines, ensuring high-quality data accessible for analysis. Close collaboration with BI and software teams is essential to integrate cloud platform capabilities, using tools like Google Cloud Platform, Fivetran, and dbt, with occasional dashboard development in Looker.
The Senior Data Engineer will design and guide strategic solutions in a financial services firm, focusing on data integration and software development. The role involves collaborating with analysts and developers, ensuring the feasibility of designs and enhancements in the mortgage industry.
As a Senior Data Engineer, you'll design and implement data solutions, collaborate with teams to develop in-house data solutions, integrate cutting-edge technologies, and ensure robust data architecture. You'll empower teams through data democratization, fostering a supportive environment around wellbeing.
The Business Intelligence Engineer will provide production support for a legacy telecom system, conduct ELT/ETL design and development, and ensure data integration into target databases. Responsibilities include supporting existing projects, recommending process improvements, and collaborating with QA for debugging and timely delivery.
As a Senior Data Engineer at Sword Health, you will design and maintain ETL/ELT pipelines, collaborate with AI teams to implement models, architect data solutions for diverse datasets, and drive data engineering efforts for AI and ML projects, enhancing the healthcare experience.
Join Wellhub as a Staff Data Engineer to enhance our AI-powered solutions in wellness. Responsibilities include developing data models, maintaining data pipelines, and ensuring data quality. You will work collaboratively to transform business data and support other teams with their data needs while living the company's values of wellbeing.
As a Data Systems Engineer, you will develop key technology for processing blockchain data, implement storage strategies, optimize performance in multi-tenant systems, and build data transformation pipelines. You will also leverage Apache DataFusion and contribute to the engineering of core components of The Graph.
As a Staff Data Engineer at Netskope, you will develop software tools for processing structured and unstructured data, analyze and organize various data types, and create language resources, contributing to the next-gen data loss prevention solutions.
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