Careers

Location: Brazil

What does a DevOps/QA Engineer do at conDati?
conDati’s DevOps/QA Engineers are primarly responsible for automating solutions for build, test automation, monitoring and reporting, on a cloud-based organization. Between building and deploying state of the art solutions, and improving or maintaining the current environment, their work is key to enable the development team to deploy faster and still maintain a best in class guided analytics application for digital marketing and ecommerce.

The DevOps/QA Engineers work closely with Data Scientists and Data Engineers to help validate new features, solutions, and data accuracy in terms of functionality, performance and usability. They also assist in the early stages of the software development process by applying their knowledge to recognize any operational issues, assess risks, and resolve issues during the development phase.

Responsibilities

• Deploy tools and processes to automate GUI/web, code, and batch testing
• Improve and maintain the build process automation
• Develop scripts to automate tasks for software development process and testing
• Improve monitoring and reporting for a diverse set of tasks such as: tool performance, data validation within a customer environment, and cloud infrastructure and expenses
• Create and expand test cases as part of a comprehensive regression suite
• Provide feedback on tool usability focusing on user experience
• Report bugs and follow up on critical fixes

Skills

• Python, Javascript and other scripting languages
• Database systems like SQL and NoSQL
• Experience with web solutions automated testing (Selenium, Datadog, etc) Cloud compute platform such as AWS, Azure, GCP, etc
• Understand the basics of distributed systems
• Knowledge of algorithms and data structures
• Experience with bug tracking tools such as Jira and
• Bugzilla is a plus
• Fluent English
• Great communication and collaboration skills

Experience required: BS in Computer Science or related fields and one plus years of direct experience

Interested?
Apply by emailing us at jobs@condati.com

Location: Brazil

What does a Data Engineer do at conDati?
conDati’s Data Engineers prepare and transform data using pipelines. This involves extracting data from various data source systems, transforming it into the staging area, and loading it into a data warehouse system ETL (Extract, Transform, Load). Data Engineers are responsible for building and maintaining data infrastructure, databases, and data pipelines (the design of systems for processing and storing data). They transform the data into a format that is useful for analysis.

This starts with cleaning, organizing, and processing raw, unstructured data. Then building the systems that capture, cleanse, transform and route data to destination systems, taking raw data from a SaaS platform such as a CRM system or email marketing tool and storing it so it can be analyzed using analytics and business intelligence tools.

Responsibilities

• Data Engineers are responsible for finding and analyzing patterns in datasets. This requires transforming large amounts of data into formats that can be processed and analyzed. The role of a Data Engineer requires significant technical skills, including multiple programming languages and knowledge of SQL and AWS technologies. They are responsible for every step of data flow, from configuring data sources to managing analytical tools. In other words, they would architect, build and manage databases, data pipelines, and data warehouses.
• Data Engineers work side by side with data scientists to build tools they need to accomplish certain big data analytics goals. They oversee data integration tools that connect data sources to a data warehouse. These pipelines either simply transfer information from one place to another or carry out more specific tasks.
• Data Engineers focus on setting up and populating analytics databases, tuning them for fast analysis, and creating table schemas. This involves ETL (Extract, Transfer, Load) work.
• Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.

Skills

• Data engineers need to be literate in programming languages used for statistical modeling and
  analysis, data warehousing solutions, and building data pipelines, as well as possess a strong foundation
  in software engineering:
• Database systems like SQL and NoSQL
• Data warehousing solutions
• ETL tools
• Machine learning
• Data APIs
• Python, Java, and Scala programming languages
• Cloud compute platform such as AWS
• Understanding the basics of distributed systems
• Knowledge of algorithms and data structures
• Communication skills
• Collaboration skills
• Presentation skills

Experience required
BS in Computer Science or related fields or one plus years of direct experience

Interested?
Apply by emailing us at jobs@condati.com

Location: Brazil

conDati is looking for an expert in AI/ML to extract value from the digital marketing and Ecommerce data we collect for conDati’s customers.

You will work in a team environment to define and implement AI/ML modules in conDati’s Analytics as a Service products.

The ideal candidate will be passionate about AI/ML and works to stay up to date with the latest developments in the field. You will advance conDati by selecting and implementing algorithms to build models that uncover connections and help our customers make better decisions. Answer business questions with analytics that provide meaningful and effective recommendations. This is a unique role that will use all your knowledge of Big Data, AI/ML algorithms, Data Science and your ability to turn data into business insights.

Responsibilities

• Understand business objectives and develop models that help to achieve them, along with metrics to track their progress
• Improve new and existing suite of algorithms and their underlying systems.
• Implementing end to end solutions for real time algorithms along with requisite performance testing and A/B testing
• Identify and curate AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability as well as errors and strategies to correct them
• Exploring and visualizing data to gain an understanding and identifying differences in data distribution that could affect performance when deploying to customers
• Establishing scalable, efficient automated processes for data analyses, model development, validation and implementation
• Verifying data quality
• Finding available datasets online that could be used to enrich conDati’s existing Data Model
• Defining validation strategies
• Defining the preprocessing or feature engineering to be done on a given dataset
• Working closely with data scientists to create and implement new product features
• Analyzing the errors of the model and designing strategies to improve

Skills

• Familiarity with the wide set of AI/ML packages and approaches. Examples: PyTorch, TensorFlow, Prophet, scikit, NumPy, …
• Ability to curate AI/ML packages to match the analytic problems conDati is solving
• Proficiency with Python, SQL. Experience with Julia is a plus
• Expertise in manipulating and visualizing big datasets

Requirements

• MS or equivalent experience in mathematics, engineering, computer science, or a related math
  heavy field
• 3-5+ years’ experience developing and deploying AI/ML applications into production,
• Strong experience working with a variety of relational databases
• Strong experience working with big data toolsets
  Experience with at least one cloud provider solution (AWS, GCP, Azure)
• Successful experience building innovative end-to-end Machine Learning systems
• Ability to quickly prototype ideas and solve complex problems using creative approaches
• Strong knowledge of data pipeline and workflow management tools
• Expertise with software engineering methodology
• Successful working experience as a Data Scientist
• Experience with Docker and Kubernetes is a big plus

Interested?
Apply by emailing us at jobs@condati.com