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Binagora

Software Craftsmanship

Senior Data Engineer

Data EngineerData EngineerContractRemoteSeniorTeam 51-200Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Latin America (LATAM) + 1 moreAll locations: Latin America (LATAM) | Europe

Posted

6 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Engineer

Binagora

Role Description We are seeking a self-directed, hands-on Data Engineer to build the data foundation that powers the entire organization. Today, our data lives across 250+ transactional tables refreshed weekly. You will own consolidating this into ~10 well-defined analytic tables, transitioning from full refreshes to daily (or better) incremental loads, and standing up a centralized analytics layer that BI, product, and AI can draw from with confidence. - Own data pipeline design and implementation; consolidate 250+ transactional tables into ~10 analytic tables; move from weekly full-refresh to daily/near-real-time incremental loads via CDC (e.g., AWS DMS). - Build and own the centralized analytics layer. - Establish unified data definitions, metrics, KPIs, and benchmarks across the organization. - Deliver a Master Data Management (MDM) framework with unified definitions and governance standards. - Drive migration to the centralized layer while deprecating direct raw table access. - Partner with internal departments to drive self-service analytics and build aggregations/data marts for benchmarking and experimentation. - Conduct exploratory and statistical analysis for data validation, and implement data observability/monitoring. - Partner with the Applied AI Engineer to design AI-ready data models (including retrieval- and embedding-ready structures to ground RAG and LLM applications). - Expand the data lake to ingest third-party sources (e.g., HubSpot, Jira, Zendesk). Qualifications - 5+ years of data engineering experience building/operating production pipelines and analytics layers. - Strong SQL and Python, with deep hands-on PostgreSQL expertise. - Deep experience in dimensional modeling and consolidating transactional schemas into analytic tables. - Hands-on experience with Change Data Capture (CDC) and incremental loading strategies. - Hands-on experience with the AWS Data Stack (Athena, Glue, DMS, S3, RDS, Lambda). - Proven experience establishing Master Data Management (MDM), metrics definitions, and data governance. - Hands-on experience constructing AI-ready pipelines (retrieval/embedding-ready data for RAG/LLM applications). Requirements - Experience integrating SaaS third-party tools (HubSpot, Jira, Zendesk) into data lakes/warehouses. - Experience partnering with AI/ML teams on feature stores and ML evaluation pipelines. - Familiarity with data observability and quality monitoring tooling. - Background in multi-tenant SaaS, edtech, or compliance platforms. Benefits - Trust-based culture: We highly value ownership and we trust in our team's skills and seniority to achieve goals. - Remote work: Enjoy working remotely! We are spread-headed in different locations in LATAM and Europe. - Flexible time off policy. - Diverse & Impactful Projects: Engage with complex challenges for major players in Media & Entertainment, alongside innovative startups in Solar Energy, Compliance, and other dynamic sectors. - Learning and development: Get the opportunity to take English classes, trainings and certifications. - Referral Program: We value connection! Our referral program provides bonuses for successful referrals. - Strong culture and traditions: We foster a supportive and engaging work environment, highlighted by our annual “Binagora Week”, regular team gatherings and gifts for special occasions.

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