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3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI.🌟 Accomplished Tech Visionary: Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! Key ResponsibilitiesCollaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work.Writing code and implementing the proposed solutionsCreating data pipelines, versioning and change managementManage the complexity inherent in versioned data pipelinesDevelop ETL/ELT processes to help extract and manipulate data from multiple sources.Design, build and maintain batch or real-time data pipelines in production.Automate data workflows such as data ingestion, aggregation, and ETL processing.Logging and instrumentation of pipelines and services.Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.Minimum QualificationsDemonstrated expertise with a minimum of 5+ years of experience as data engineer or similar roleAdvanced SQL skills and experience with relational databases and database design.Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).Strong Python skills with hands-on experience on Pandas, NumPy and other data related librariesExperience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive etcProficient in data pipeline and workflow management tools e.g. AirflowExperience with data visualization tools like PowerBI, Tableau, AWS QuickSight etcExperience with the AWS/Azure/GCP data engineering servicesKnowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAMORKnowledge of Azure services viz., ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DBVery good exposure of working on Data Lakes & Data Warehouses solutionsExcellent problem-solving, communication, and organizational skills.Proven ability to work independently and with a team.Ability to guide other data engineers.High level of English proficiency required to interact directly with U.S-based client.Additional Experience DesiredJava and key Java-based frameworks (Spring, Springboot, Hibernate, Apache, etc) Good understanding of NoSQL databases like Redis.Client-Prioritized ValuesMulti-dimensional contributorComfortable wearing multiple hats Excels at multitaskingOperates with a sense of urgencyHands-on, tactical contributorEffectively pass along relevant context to the broader teamTakes consultative approachAbility to formulate solutions from abstract requirementsBalancing between what needs to be done and what should be doneForward-thinking approach, getting ahead of functionality that serves the businessTakes ownership of the work item, drives progress forward, understands all the moving parts, pieces & impacts (from business side, product side, and implementation)Quick ramp, hands-onQuick digestion of product architecture/design & goalsTechnical curiosity and eagerness to understand the business and underlying driversBenefitsMedical Insurance benefits as per company policy. Life Insurance as per company policy12 days of paid vacation, sick leave and paid holidays as per local lawPaternity and maternity leave as per as per local lawMarriage, bereavement and graduation leaves as per company policySick leave and paid holidays as per local lawChristmas bonus as per local lawSaving Fund “Asociacion Solidarista”Beach house (Managed by the Asociacion Solidarista)Discounts in local shopsDirect deposit of payroll.Paid professional certificationsWhat is it like working for 3Pillar Global?At 3Pillar, we offer a world of opportunity:Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. Join us and be a part of a global tech community! 🌍💼 Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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