Req ID: 367971 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a ETL DataStage Developer - REMOTE to join our team in Toronto, Ontario (CA-ON), Canada (CA). Day to Day Responsibilities: - Perform Data analysis, collect business requirements and identify business rules; - Analyze, develop and support Data Integration, EDW and Data Management using Data Stage, Teradata, SQL, Autosys, Oracle etc. platforms and tools - Collaborate with data modelling team to define data integration logic - Create data mapping necessary to fulfill the requirements - Build and test new ETL programs to fulfill the service requests - Automate the ETL processes and pipelines using scripting and Autosys; - Participate in Unit Testing, assist QA team in Integration Testing, and support Business team for UAT. - Participate in code deployment and coordinate with different infrastructure teams during go-live, post-production, and continued support of end product. - Estimate the time and resources needed for implementing the service requests - Participate in technology governance groups that defines policies, best practices and make design decisions in on-going projects - Mentor junior developers regarding best practices and technology stacks used to build the application - Debug data quality issues by analyzing the upstream sources and provide guidance to data integration team resolutions - Work closely work with DBAs to fix performance bottlenecks Minimum Requirements: - 8+ total years experience in data integration (ETL) - 5 years solution development using DataStage suite - 5 years of experience in RDBMS / Data Warehousing platforms, preferably Teradata Desired Skills: - Python scripting to introduce automation as part of solution delivery - Recent experience and clear responsibilities in a ETL / Extracts / Data Engineering lead developer capacity - Certifications in ETL and Data Warehouse platforms - Strong SQL knowledge and ability to write most complex queries - Conceptual understanding of logical and physical data model is a must, and a working experience is a plus - Ability to develop and maintain data integration/ETL specifications that states integration rules and mappings - Domain experience in Healthcare - Data profiling and implementation of automated solutions for data quality checks - Databricks certifications #LI-NorthAmerica About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

• Play a key role in transforming data into meaningful insights that drive institutional decision-making. • Partner with cross-functional teams to design scalable data solutions, improve data quality, and deliver impactful analytics. • Design and implement robust, scalable data pipelines to support analytics and reporting needs. • Build, maintain, and optimize ETL/ELT processes across cloud-based data platforms. • Develop and automate reporting solutions and interactive dashboards using modern BI tools. • Ensure data integrity, quality, and governance across multiple data sources. • Apply statistical and analytical techniques to generate actionable business insights. • Collaborate with engineers, analysts, and client stakeholders to translate business needs into technical solutions. • Lead smaller projects or own key components of larger initiatives. • Contribute to continuous improvement efforts, including performance tuning and process automation. • Mentor junior team members and support knowledge sharing across the team.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The team you will join: Our team uses data for the consumer product security in two ways: 1) provide insights into effectiveness of security measures across products, and 2) build intelligence to address fraud in scale. Examples of fraud we deal with include account compromise, piracy, and DDoS. We achieve our goals through both technical work on the team and cross-functional partnerships. We are looking for an analytics engineer to join our team to drive security metrics as well as data solutions for detection and prevention across the fraud landscape. If you've used Netflix, you've been protected by systems that our team built. We collaborate closely with Product, engineering, Data teams, as we believe security is a team sport. This blog post is a great way to learn about our work. What you will work on: As a Security Analytics Engineer, you will drive insights and discovery of fraud in our ecosystem by understanding our infrastructure, and product, identifying high risk areas, and driving changes to our anomaly detection and product experiences. You will leverage your security and fraud prevention expertise to analyze patterns, identify new signals, and recommend adjustments based on impact to our customers and Netflix. - Develop data-driven insights to influence our device & product security strategy, including identifying new signals for anomaly detection - Compile and track anomalous request patterns and identify potential mitigations - Design and champion data‑driven security enhancements that strengthen our devices and safeguard our rich content catalog. - Analyze error logs to quantify potential device-level vulnerabilities - Develop characterizations of request attributes across a diverse device and client ecosystem to quantify potential automation - Build insights into security and identity of the Netflix diverse and large-scale device ecosystem and develop dashboards to cascade the insights to a wide range of stakeholders Desired skills and background: - Passionate about protecting our customers & products. - Expert with analytics (SQL, Presto, sparkSql, python) and critical thinking. - Experience in signal development for classification and anomaly detection - Experience in metrics development and storytelling that drive business decisions. - Familiarity with various aspects of fraud and abuse types, including account compromise, piracy, or DDoS. - A strong communicator & collaborator in varying contexts & environments. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $421,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Role Description FlowMo builds AI systems that turn business data into real work. This role is for someone who can take messy data and produce answers quickly using data modeling best practices. - Build data models using SQL and DBT/LookML-style logic - Answer core business questions such as CAC, LTV, attribution, and revenue drivers - Debug and fix broken or incomplete datasets - Translate business questions into structured data models - Iterate quickly and improve outputs over time - Ship usable results fast, not perfect results slowly Qualifications - 2–5+ years working in data modelling in a business context - Experience with data modeling tools (DBT, LookML, or similar) - Comfortable working with messy or incomplete data - Strong written and spoken English - Ability to work overlapping U.S. hours (EST) - Ability to operate independently with minimal structure Requirements - Fast-paced environment with minimal process and bureaucracy - Opportunity to grow into a customer-facing analytics or solutions role - Work directly with founders and core product team - Flexible, remote-first work environment Benefits - This is a remote role within a small, fast-moving team. Independence, speed, and ownership are essential. - Work with real customer data from day one - Operate with minimal structure and high accountability - Iterate quickly and learn by doing - We value people who can figure things out and ship results. Application Process - Apply with your responses to the required questions - Short (30-minute) interview - Fast decision Company Description FlowMo connects a DTC brand's stack (Shopify, GA4, Meta, Google Ads, Klaviyo, and more) once, then runs deterministic AI on top of a semantic data model to go from data → insight → recommendation → action. Operators and agencies see value by day 2 (with your help). No new stack, no data team, no dashboard fatigue. Every competitor (Triple Whale, Northbeam) stops at insight. We do the work.