Position: Senior Data Engineer
Company: Adraba
Category: Data Science
Experience required: 3y
English level: upper

As our Sr. Data Engineer, you will build data-pipelines, support data analytic processes, and manage data analytics platforms, with the mindset of aiding our business and engineering teams in their use of data to make smarter, more informed decisions. You will help us manage our data supply for analytical insights to support business decisions. In doing so, this role enables our business and engineering teams to make informed, customer-focused decisions to measurably and empathetically innovate our product, features, and tools.

Our ideal candidate has such knowledge, skills and experience:
1) Data modeling/architecture, data warehouse/lake design (e.g. data structures & strategy, structure and unstructured data experience),
2) Saas database platform, data management experience (e.g. cloud-based ... AWS RedShift, MySQL, DynamoDB, Redis, etc.),
3) Saas data pipeline management experience (e.g. cloud-based Informatica, Stitch, Pentaho, Talend),
4) Experience with Saas data integrations connecting operational and analytical platforms.

You will be responsible for:
• developing and maintaining data pipelines and data analytic systems;
• modelling data analytics databases for reports, analysis, and dashboards;
• integrating pipelines with current software infrastructure;
• performing exploratory analysis on data to find issues or trends;
• curating and annotating proprietary datasets;
• building, evaluating, and supporting various data analytics and/or machine learning models.

Your key results will be:
• Build and provide ongoing support for data pipes to connect and collect data from internal systems and 3rd party API’s (e.g. AWS, Facebook, Google Ads, etc).
• Extract and load data into staging environments. Validation of events, entity and data attributes (for all sources) to ensure data-content quality, integrity, and timeliness are consistent with business expectations.
• Work with business and engineering teams to understand business needs. Design, architect and develop data models for data warehouse and reporting infrastructure, consistent with business needs.
• Develop data scrubbing, normalization, and transformation processes. Analyze data analytic technology needs and assist the team with data road-map.
• Manage and align maintenance schedules (up-time) for data analytic systems. Create operational alerts for system health monitoring.
• Work with 3rd party services (e.g. Branch, MixPanel, etc) to enable data continuity, minimize downtime, and support data recovery capabilities. Define data validation rules, monitor, track, and report data quality & integrity.
• Build tracking and alerts for issues with critical data & KPIs such as app & customer usage data, CPI, CPM, spend, and other critical data & metrics.

With us You:
- can professionally grow - we help you to see your progress with smart Professional Development Plan;
- can build your individual Training&Development strategy - we have a significant budget for your educational programs;
- can clearly see your work results - we have clear Goals List for your probation period (3 months) and quarterly performance appraisal based on your OKR;
- can maintain your financial stability - we guarantee timely and competitive payments that are reviewing based on your performance results; PE registration, handled by the Company’s accountant;
- can keep life-work balance - we provide 20 vacation days, 5 paid sick days, days for remote work, and we avoid overtime due to smart planning and time estimation;
- can be a part of a team that is connected by main values (results, continuous improvement, collaboration, care and have fun) - we value open and productive communication, have team-buildings and corporate events; we care about each other, and celebrate work anniversaries and personal events.