• Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently. • Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery. • Leverages APIs for data access and integration with internal and external systems. • Work with web and transactional data to support analytics and business intelligence initiatives. • Ensure data quality, integrity, and security across all stages of the data lifecycle. • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. • Optimize data workflows for performance and cost efficiency in cloud 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

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