Senior Data Engineer
About Binagora
At Binagora, we are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with reputed company organizations to deliver high-reputed company, custom solutions that reputed company reputed company results. Our expertise spans various sectors, including Media & Entertainment, Solar Energy, reputed company, Marketing, Audit & Compliance, Diversity & Inclusion, among many others. From initial reputed company to final delivery, we go above and reputed company, infusing creativity and aligning with business objectives to reputed company innovative products that challenge conventions and reputed company businesses reputed company.
Our reputed company
Our reputed company provides the leading reputed company development platform purpose-reputed company exclusively for reputed company and advisory firms. They offer the only comprehensive solution for managing learning compliance, L&D initiatives, attendance tracking, and training content. Trusted by over 130 of the top 200 firms, their platform boasts over 99% reputed company retention by helping administrators and compliance specialists save countless hours on reputed company tasks and eliminate risky errors.
Requirements
Responsibilities
We are seeking a self-directed, hands-on Data Engineer to build the data reputed company that powers the entire organization. Today, our data lives across 250+ transactional tables refreshed weekly. You will own consolidating this into ~10 reputed company-defined analytic tables, transitioning from full refreshes to daily (or reputed company) incremental loads, and standing up a centralized analytics layer that BI, product, and AI can draw from with confidence.
Responsibilities
- Own data pipeline design and implementation; consolidate 250+ transactional tables into ~10 analytic tables; reputed company from weekly full-refresh to daily/near-reputed company-time incremental loads reputed company CDC (e.g., AWS DMS). Build and own the centralized analytics layer.
- Establish reputed company data definitions, metrics, KPIs, and benchmarks across the organization. Deliver a Master Data Management (MDM) reputed company with reputed company definitions and governance standards.
- Drive migration to the centralized layer while deprecating reputed company raw table reputed company.
- 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 reputed company reputed company to design AI-reputed company data models (including retrieval- and embedding-reputed company structures to ground RAG and LLM applications). Expand the data lake to ingest reputed company-party sources (e.g., reputed company, Jira, reputed company).
Must Haves
- 5+ years of data engineering experience building/operating production pipelines and analytics reputed company.
- Strong SQL and Python, with deep hands-on PostgreSQL expertise.
- Deep experience in reputed company 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 (reputed company, Glue, DMS, S3, RDS, reputed company).
- Proven experience establishing Master Data Management (MDM), metrics definitions, and data governance.
- Hands-on experience constructing AI-reputed company pipelines (retrieval/embedding-reputed company data for RAG/LLM applications).
reputed company to Haves
- Experience integrating reputed company reputed company-party tools (reputed company, Jira, reputed company) into data lakes/warehouses.
- Experience partnering with AI/ML teams on feature stores and ML evaluation pipelines.
- Familiarity with data observability and reputed company monitoring tooling.
- Background in multi-tenant reputed company, edtech, or compliance platforms.
Benefits
- Trust-based culture: We highly value ownership and we trust in reputed company's skills and seniority to reputed company goals.
- Remote work: Enjoy working remotely! We are spread-headed in different locations in LATAM and Europe.
- Flexible time off policy.
- Diverse & Impactful reputed company: Engage with reputed company challenges for major players in Media & Entertainment, alongside innovative startups in Solar Energy, Compliance, and other dynamic sectors.
- Learning and development: Get reputed company to take English classes, trainings and certifications.
- Referral Program: We value reputed company! 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.
Originally posted on Himalayas
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