Data Operations Engineer Specialist

March 27

Clarity AI

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Add Clarity. Choose Sustainably™

Tech • Social Impact • Product • Financial Performance • Environmental Impact

201 - 500

💰 $50M Venture Round on 2021-12

Description

• Working as a Data Operations Engineer Specialist your main responsibilities will include: • Consult data and use your coding skills (Python and SQL) to manage data from different data sources (S3, postgreSQL, etc.) in order to define the information to retrieve in our collection efforts. • Create automated and refreshable dashboards and reports for different stakeholders using your SQL and Python coding skills and using tools and services such as DBT and Quicksight. • Developing process operations and process automations using orchestration tools, APIs and overall best practices in streamlining business processes. • Delivering data through existing pipelines, or supporting the creation of new pipelines while including necessary soda validation checks. • Capable of serving data to non-technical and technical teams as a form of a dataset or a compelling dashboard/visualization. • Developing solution architecture diagrams and supporting the build using best practices. • Offering technical support to business stakeholders around their day to day operational work. • Modify and create new ETLs helped by the data-engineering team (we use Airflow to manage ETLs). • Support the configuration/integration of third party tools and work on web scraping activities and tasks. • Writing maintainable code with tests, applying version control, debugging correctly, and uploading it to Gitlab. • Interfacing with the Data Science team on serving data for modeling and predictions and helping deliver high quality data based on business rules to specific data stores.

Requirements

• 3+ years industry experience in the data analytics and data engineering field • You hold a degree in a quantitative field (CS, Engineer, Math, Physics, … ) and have great coding skills. Masters degree preferred. • You possess very strong SQL, Python database skills, and can make invocations to APIs • You are very familiar with using tools such as SnowFlake, Airflow, AWS Services (ie. S3, Quicksight), and DBT • Experience in advanced analytics, data engineering and a similar related field of data management • Experience in collaborating with engineering teams and stakeholders to build key datasets and executing data pipelines using Python/ETL frameworks. • Can work well with the Business and Technology stakeholders to deliver business initiatives on time by understanding the business need. • Excellent oral and written English communication skills. (Minimum C1 level-proficient user). Able to write technical documentation clearly and concisely. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity AI team will be based remotely. • You are open to try new technologies and programming languages. • It will be a plus if you had: • Experience in the financial sector. • Knowledge of sustainability aspects.

Benefits

• ESOP / Phantom Stock: We want our employees to really feel part of Clarity AI. That's why we allow them to participate in our success with ESOP or Phantom stock options. • Empowered Learning: We value continuous learning development and allocate an annual training budget to support your professional growth. • Premium Health Insurance: We provide access to one of the top health insurance plans in the market, powered by Cigna. • Wellness and Fitness (Gympass): Access to your preferred and your favorite gyms and studios - as well as online live fitness classes, health & wellness apps, and virtual personal training sessions. • Flexible Work Arrangements: We promote work-life balance through flexible schedules and remote work options. For our hybrid work set-ups, we have offices in Madrid (complete with healthy food options and monthly office events), New York City, London, Paris, Riyadh, and Abu Dhabi, and access to a global network of co-working spaces.