Job Title: Data Engineer (Offshore) Role Purpose Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and business intelligence solutions. The role focuses on transforming raw data into structured, reliable datasets for downstream BI consumption. Key Responsibilities - Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration (or similar ETL tools). - Design and implement data mappings, transformation logic, and data workflows. - Build robust ETL/ELT processes to extract, transform, and load data into analytics/data warehouse layers. - Prepare and structure datasets optimized for reporting and dashboard consumption. - Ensure data quality, consistency, and integrity across pipelines. - Monitor and troubleshoot data pipeline failures, performance issues, and data availability challenges. - Collaborate closely with BI Developers and BA/BI Consultants to align data models with reporting requirements. - Optimize data pipelines for performance, scalability, and efficiency. - Document data flows, transformations, and technical specifications. Required Skills & Experience - 4–7+ years of experience in Data Engineering or ETL development roles. - Hands-on experience with Oracle Cloud Data Integration (OCDI) or similar ETL platforms (Informatica, Talend, Azure Data Factory, etc.). - Strong SQL skills with expertise in data transformation and optimization. - Solid understanding of data modeling concepts (star schema, snowflake schema, normalization/denormalization). - Experience building and managing ETL/ELT pipelines for analytics and BI solutions. - Familiarity with data warehousing concepts and architectures. - Strong problem-solving skills with attention to data accuracy and quality. - Ability to work in offshore delivery models and collaborate with cross-functional teams. Nice to Have - Experience in finance or banking domain - Exposure to cloud data platforms (Oracle Cloud, AWS, Azure) - Knowledge of big data technologies (e.g., Spark, Hadoop) - Experience with performance tuning and pipeline optimization Key Competencies - Analytical and structured thinking - Attention to detail and data accuracy - Collaboration and teamwork - Ownership and accountability - Adaptability in dynamic environments

Job Title: Data Engineer (Offshore) Role Purpose Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and business intelligence solutions. The role focuses on transforming raw data into structured, reliable datasets for downstream BI consumption. Key Responsibilities - Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration (or similar ETL tools). - Design and implement data mappings, transformation logic, and data workflows. - Build robust ETL/ELT processes to extract, transform, and load data into analytics/data warehouse layers. - Prepare and structure datasets optimized for reporting and dashboard consumption. - Ensure data quality, consistency, and integrity across pipelines. - Monitor and troubleshoot data pipeline failures, performance issues, and data availability challenges. - Collaborate closely with BI Developers and BA/BI Consultants to align data models with reporting requirements. - Optimize data pipelines for performance, scalability, and efficiency. - Document data flows, transformations, and technical specifications. Required Skills & Experience - 4–7+ years of experience in Data Engineering or ETL development roles. - Hands-on experience with Oracle Cloud Data Integration (OCDI) or similar ETL platforms (Informatica, Talend, Azure Data Factory, etc.). - Strong SQL skills with expertise in data transformation and optimization. - Solid understanding of data modeling concepts (star schema, snowflake schema, normalization/denormalization). - Experience building and managing ETL/ELT pipelines for analytics and BI solutions. - Familiarity with data warehousing concepts and architectures. - Strong problem-solving skills with attention to data accuracy and quality. - Ability to work in offshore delivery models and collaborate with cross-functional teams. Nice to Have - Experience in finance or banking domain - Exposure to cloud data platforms (Oracle Cloud, AWS, Azure) - Knowledge of big data technologies (e.g., Spark, Hadoop) - Experience with performance tuning and pipeline optimization Key Competencies - Analytical and structured thinking - Attention to detail and data accuracy - Collaboration and teamwork - Ownership and accountability - Adaptability in dynamic environments

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment. Why does MWDN rock? Here’s what you can expect when you join MWDN: - Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments—no fraud or unpleasant surprises. - Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals. - Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes. - Professional development: We offer English courses and professional growth opportunities, as well as team-building events. Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU. What is your new project? - Domain: AI Consulting - Client Location: US - Company size: up to 10 people - Founded in: 2020 What makes this project exciting? Join a forward-thinking consulting environment that helps companies scale through modern cloud, data, and AI-driven solutions. The team partners with organizations across industries to design and implement robust, multi-cloud architectures, combining deep infrastructure expertise with advanced data platforms. Built for complex, real-world challenges, the approach focuses on turning fragmented systems into scalable, high-performing ecosystems. From enabling seamless cross-cloud operations to supporting data pipelines and analytics, you’ll help drive solutions that power smarter decision-making and long-term growth. What makes you a great fit - 7+ years in data engineering, analytics engineering, or cloud data platform roles - with demonstrable breadth across both pipeline and analytics layers - Hands-on multi-cloud experience across at least two of AWS, Azure, GCP and their native data services - Experienced with usage/oversight of generated code via AI - Strong Python proficiency for pipeline development and automation - Hands-on experience with dbt (Core or Cloud) or equivalent transformation frameworks - Experience with orchestration tools (Airflow, Prefect, Dagster, or equivalent) - Familiarity with streaming platforms (Kafka, Kinesis, Pub/Sub, or equivalent) - Strong SQL proficiency and experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse) - Understanding of data modeling patterns - star schema, data vault, and/or lakehouse - Comfortable presenting technical content to non-technical client stakeholders Preferred - Experience with lakehouse platforms (Databricks, Apache Iceberg, Delta Lake) - Infrastructure-as-code experience (Terraform or equivalent) - Exposure to BI tooling and semantic layer design (Looker, Power BI, Tableau, or equivalent) - Fintech or regulated industry background - Prior experience in a consultancy or client-delivery environment Your day-to-day in this position - Lead implementation of end-to-end data platforms across the cloud pipeline and analytics/transformation layers - Build and optimize data ingestion pipelines - batch and streaming - using modern orchestration tools - Design and implement data transformation logic and semantic data models using dbt or equivalent - Evaluate and recommend data stack components across the full delivery lifecycle, contributing to the team's stack selection mandate - Participate in client-facing technical sessions, sprint reviews, and architecture working groups alongside the Senior Data Architect & Advisor - Provide engineering leadership and code review for the three internal mid-level engineers - Implement infrastructure-as-code practices to ensure consistent cloud deployments - Build and maintain data marts, aggregated layers, and reporting-ready datasets aligned to project requirements - Document data lineage, transformation logic, and pipeline architecture consistently and clearly Why work with us? - People-first management with minimal bureaucracy - A friendly company culture, proven by employees who choose to return - Flexible working hours - 29 days of PTO (18 working days per year pluse all national holidays) - 10 paid sick days - Full financial and legal support for independent contractors - Free English classes, with native speakers or Ukrainian teachers - Dedicated HR support Our next steps ✅ Intro call with a Recruiter — ✅ Intro call with a Recruiter —✅ Tech interview — ✅ Offer Requirements null

Thinkific is a learning commerce platform that helps learning businesses turn knowledge into impact. By bringing together community, courses, and content with commerce, we power transformative learning experiences that help businesses grow their revenue—and reach millions of learners around the world. We’re a team of 300+ Thinkers building products that matter. Every role at Thinkific contributes to raising the bar for online learning, supporting learning businesses, and creating real-world impact. You’ll work alongside curious, collaborative teammates who care deeply about what they build and who they build it for. We’re committed to a fair, inclusive, and human hiring experience. Our team is here to guide you every step of the way, so you always know what to expect! Are you a data engineer who loves writing code, or a full-stack developer with a knack for data? Either way, we'd love to talk. We're looking for an Intermediate Data Engineer to join us at Thinkific As an Intermediate Data Engineer on our Data team, you'll be closely collaborating with engineering teams, designers, and stakeholders across the company to solve data problems that span the full stack — from pipelines and infrastructure to customer-facing data products. You'll be part of a small, dynamic team — the problems you'll work on won't always come with a neat brief, and we need someone who takes ownership and runs with it. Reporting to a Principal Data Engineer, your work will directly impact both internal decision-making and customer success. Your goal will be to help shape our data products and infrastructure to have a top-line impact on our company goals. Here's how you'll accomplish this: - Take ownership of undefined problems — dig in, scope the work, and ship solutions, whether that's a pipeline, a dashboard, a tracking implementation, or something we haven't thought of yet - Ship customer-facing analytics dashboards and features — this is production code, not just SQL and charts - Work directly with engineering teams to implement tracking services across our products - Interface with teams across the company who need data solutions, translating fuzzy requirements into concrete deliverables - Raise the bar on technical quality across the data team — through architecture decisions, reducing tech debt, code reviews, and bringing software development best practices to a high-performing data team - Work with your team to conduct new technology research; bring fresh ideas and concepts to bear on how we integrate AI into our data workflows The person we have in mind likely: - Has 3–5 years of experience working across data engineering, full-stack development, analytics, or some combination — we care more about range than a specific title - Has solid data engineering experience — you've built and maintained pipelines, worked with warehouses, and understand data modeling and quality - Has full-stack development experience — you've shipped production code that users interact with, not just internal tooling - Has hands-on experience with dbt and BigQuery or similar stacks (Snowflake, Databricks, etc.) - Is self-motivated and resourceful — you ship things, communicate clearly across technical and non-technical teams, and are always looking to level up - Is comfortable working across the stack and across disciplines; you don't need to be an expert everywhere, but you're not afraid to jump in - For reference, our current stack is primarily dbt (SQL) with Python for data work, Looker for our Analytics layer, and React, TypeScript (with some Ruby), and embedded Looker on the product side — but we're more interested in your engineering fundamentals than specific language experience. - Loves to learn and grow, They’ve found (and keep looking for) ways to level up their skills in this field, whether that’s through formal education, gaining professional experience, or maybe even building their own business These things would also be nice, but we think you could learn them on the job: - Experience with LLM/agent development — building AI-powered data products, automated workflows, or integrating LLMs into data pipelines and analytics - Experience with GCP and Terraform - Any exposure to ML - Experience white-labeling a BI tool or embedding analytics into a customer-facing product - Experience building or maintaining event tracking systems - Familiarity with modern data stack tools beyond dbt/BigQuery (Airflow, Dagster, etc.) - Experience working in startup-style environments or autonomous teams within larger orgs - Experience working in a SaaS environment We’re committed to fair and transparent pay that reflects both where you are and where you can grow to. This role has a salary range base of $88,200 - $110,200 - $132,200 designed to capture the full journey from developing skills to excelling in the position. Most new hires start between the minimum and midpoint, which aligns with being fully capable in the role. Salaries above the midpoint are typically reserved for team members who have demonstrated strong, consistent performance, deep expertise, and a significant positive impact within the role. For high-demand or hard-to-fill positions like this one, we may hire above midpoint for candidates who bring exceptional experience, skills, or impact potential. Diversity, Equity, Inclusion and Belonging & Accessibility This is just our initial idea of who we’re looking for! At Thinkific, we know that people have unique career journeys. If your experience is close to what we’ve described but you feel that you might be missing a few of the requirements, please still apply! We believe in equal opportunity and are committed to diversity, equity, inclusion, and belonging across every facet of our business. We’re also committed to providing a comfortable and accessible interview experience for every candidate. If there are any accommodations our team can make throughout our hiring process (big or small), please let us know. What you can expect if you join Thinkific: 👏 An amazing team of talented, passionate, and kind Thinkers. Together, we’ve built an amazing, award-winning culture—we’re a Certified Great Place to Work and one of Canada’s Most Admired Corporate Cultures by Waterstone! 🚀 The chance to build, improve, and innovate on a platform that’s driving positive impact for thousands of businesses and millions of students around the world. 💸 A competitive compensation package including base salary, equity, team-wide bonuses, and an Employee Share Purchase Plan. 🌴Flexible Paid Time Off to maintain mental and physical health. Our team is encouraged to take a minimum 4 weeks of vacation, plus Thinker Holidays (extended long weekends in the summer) and time off for the December holiday season. 🩺 Health Benefits and Wellness: Comprehensive benefits starting on Day 1 include health, vision, and dental coverage for you and your family, $3,000 for mental health care, a short-term health plan, and an additional $900/year health or personal spending account. Plus, family friendly benefits include generous parental leave top-ups for up to 32 weeks, as well as fertility coverage and personalized return to work options. 🤝 3 Paid Volunteer Days each year to give back to your community and support the causes you care about. 💻 Flexible Work. Choose to work from home from anywhere in Canada, at our Vancouver HQ, a co-working space, or anywhere there’s wifi for a change of scenery. ⬆️ Learning & Growth. An annual $2,000 CAD Learn and Grow fund for conferences, seminars, or courses, plus training, mentorship, coaching, and internal promotion opportunities. 🏡 A home office setup so you’re ready to succeed with a company-owned Macbook Pro and a budget to order a desk, chair, or any accessories to help you work comfortably and productively. 💙 A place where you can bring your whole self to work. We know that different perspectives lead to amazing ideas, more innovation, and, ultimately, our success as a company. We welcome applicants of all backgrounds, experiences, beliefs, identities, and statuses. Whoever you are—we can't wait to meet you! The Thinkific Vancouver office operates on the traditional, ancestral, and unceded territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and Sel̓íl̓witulh (Tsleil-Waututh) Nations of the Coast Salish People. We encourage everyone to learn more about the original caretakers of the land that you currently occupy.