Data Engineer

Gismart

Data Engineer building ETL/ELT pipelines and attribution systems for Gismart’s FitMe fitness app. Optimizing Redshift analytics and supporting BI, product, user acquisition, and billing teams.

Posted 8/5/2026full-timeRemote • 🇺🇦 UkraineJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and supporting ETL/ELT pipelines, ensuring data quality, and integrating external data sources. Proficient in advanced SQL, Python programming, and familiar with data warehouse concepts and attribution models.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentAdvanced SQL SkillsAmazon Redshift OptimizationData Quality AssurancePython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentData EngineeringAnalytics EngineeringSQLPythonData Warehouse ConceptsData Lake ConceptsInfrastructure as CodeApache AirflowData Quality Assurance

Tools & Technologies

Amazon RedshiftMeta Marketing APIAppsFlyerAppMetricaTableau ServerStripeApache SparkDbtTerraformGoogle Ads

Industry Keywords

Attribution ModelsCohort RevenueLTVRetentionCreative KPIsPost-Purchase AnalyticsUA Attribution ToolsCost-Cohort ResolutionSubscription Business LogicAnti-Bot Traffic Filtering

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSETLPythonSparkSQLTableauTerraform

About the role

Key responsibilities & impact

Provide ad-hoc validation of figures and investigate discrepancies between dashboards
Ensure availability of the BI platform
Develop and support ETL/ELT pipelines for analytical reports, including cohort revenue, LTV, retention, creative KPIs, and post-purchase analytics
Support attribution models, including Web-to-Mobile mapping, multi-locale cost-cohort resolution, and last-click versus raw events
Integrate external data sources such as Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server, and Birch
Perform data quality assurance through schema, freshness, and volume checks
Detect broken snapshots and filter anti-bot traffic
Optimize queries and procedures in Amazon Redshift
Collaborate with BI, Product, UA, and Billing analysts

Requirements

What you’ll need

1–2 years of commercial experience in data engineering, analytics engineering, or BI development
Knowledge of data warehouse, data lake, and data lakehouse concepts
Proven experience designing, implementing, and supporting ETL/ELT pipelines
Experience with AWS, Amazon Redshift, and Apache Airflow
Advanced SQL skills
Hands-on experience writing production-level Python code
Willingness to work with subscription, monetization, and attribution business logic, with team support
Experience with Infrastructure as Code using Terraform is a plus
Experience with dbt, Apache Spark, or Apache Iceberg is a plus
Experience with UA attribution tools and stacks such as AppsFlyer, AppMetrica, Adjust, SKAN, and GA4 is a plus
Experience with UA cost APIs such as Meta, Google Ads, TikTok, and AppLovin is a plus

Benefits

Comp & perks

Remote-first culture
Flexible working schedule
Work anywhere in the world, remotely or from a corporate hub
100% compensation for coworking spaces in Ukraine, except Kyiv
50% compensation for coworking spaces worldwide
Free office lunches for employees working from hubs
Public holidays based on Ukrainian or Polish holiday calendars; 12 public holidays per year for employees in other locations
100% sick leave compensation
Partial coverage of medical insurance, sports activities, and therapy costs
Equipment provided or maintenance costs covered
70% coverage of professional development courses
100% coverage of corporate English courses
18 working days of paid vacation per year
3 personal days per year
An extra vacation day for each year at Gismart
Corporate events and team-building activities across Gismart hubs