Job opportunity about payu, a global fintech investor, our vision is to build a world without financial borders where everyone can prosper. we give people in high-growth markets the financial services and products they need to thrive. our expertise in 18 high-growth markets enables us to extend the reach of financial services. key responsibilities - design, develop, test, deploy, and monitor in-house services and tools to support our global data infrastructure. - collaborate closely with engineering teams, data scientists, and product managers to develop data-driven features. - expand and optimize our data tech stack by evaluating and implementing new technologies to support product requirements. requirements - a minimum of 2 years of proven professional experience working with python. - experience with distributed systems and microservices architecture. - at least 2 years of experience working with aws services such as ec2, emr, rds, redshift, or other cloud technologies. - a minimum of 2 years of experience with relational sql or nosql databases. - at least 2 years of proven experience in business logic processes, data warehouse modeling, and insight delivery. - mid-to-advanced proficiency in english. - familiarity with deploying production-quality code and working with ci/cd tools. - knowledge of big data tools and streaming technologies. benefits: - a dynamic work environment with a team of experienced professionals. - opportunities for career growth and development. - an inclusive and diverse workplace culture. what we offer we are committed to creating an in...
Job overview we're on a mission to create a data-driven culture where everyone feels empowered to be their best. as a key member of our team, you will play a pivotal role in designing and developing data pipelines that drive business growth. key responsibilities: - design and implement robust data extraction architectures and infrastructure for seamless data sourcing. - merge newly discovered data with existing data sources to unlock new insights. - identify opportunities to automate processes and improve efficiency. - develop optimal data pipeline architectures that meet the needs of our organization. - assemble complex data sets that meet functional requirements. - collaborate with cross-functional teams to resolve related technical issues. - ensure data integrity and security across geographic boundaries. requirements: to succeed in this role, you will need: - at least 3 years of experience in data engineering domain. - strong knowledge of data etl and processing techniques. - proficiency in working with relational databases (e.g., postgresql, mysql) and understanding of relational storage concepts, with the ability to write and optimize sql queries. - experience with python and apache airflow. - experience working with services in amazon web service data ecosystem. - organized and structured working process. - able to agree to and deliver to realistic deadlines. - excellent interpersonal and relational skills. - strong agile mindset, able to iterate fast and give early feedback. benefits: we offer: - competitive salary package, share plan, referral bonus. - car...
At the forefront of innovation, we empower manufacturers to optimize productivity and sustainability. our global community of professionals shares a common goal: making a positive impact on the world. as a senior data engineer, you will play a pivotal role in shaping data management solutions that drive business growth and success. - strong understanding of data engineering principles - proficiency in data processing and analysis tools - excellent problem-solving skills and attention to detail - collaborative and dynamic work environment - ongoing opportunities for professional development and growth - recognition and rewards for outstanding performance - meaningful work that contributes to a greater purpose - opportunities to collaborate with talented individuals from diverse backgrounds - autonomy to design and implement innovative solutions...
Job title: data engineering manager overview we are seeking a high-impact project leader to manage complex data solutions for a global client. as a seasoned technical expert, you will lead a small team and work closely with stakeholders to ensure successful project outcomes. key responsibilities: 1. design, develop, and deploy scalable data pipelines and architectures using sql, python, snowflake, and cloud technologies. 2. leverage agent frameworks, genai, and chatbots to drive intelligent automation and user interaction. 3. oversee ci/cd pipelines and ensure smooth cloud deployment of data-driven applications. 4. serve as the primary technical contact for the client, managing communications, timelines, and expectations. 5. mentor junior data engineers, promoting collaboration, quality, and continuous improvement. 6. e nsure data integrity, performance, and security across all stages of the data lifecycle. 7. contribute to architectural decisions and set standards for coding, testing, and deployment practices. requirements - strong technical foundation in data engineering, including expertise in sql, python, and cloud technologies. - excellent leadership skills, with experience in managing teams and client relationships. - able to communicate complex technical concepts to non-technical stakeholders. - familiarity with genai and chatbot development. - ability to adapt to changing project requirements and priorities. about us we are a leading provider of data engineering services, dedicated to delivering high-quality solutions that meet our clients' needs. our team i...
Cree una alerta de empleo y reciba nuevas ofertas que se adaptan a su perfil desde más de 2550 sitios web de empleo