Job description we are looking for a skilled professional to contribute to the design, development, and maintenance of our data infrastructure. the ideal candidate will have solid technical skills, hands-on experience in building data pipelines, and a deep understanding of scalable data systems and cloud technologies. - develop and maintain data pipelines (batch and real-time) to ingest, process, and transform data from various sources. - implement and optimize etl/elt workflows to move data efficiently into our data warehouse and data lake. - collaborate with senior engineers and analysts to understand business requirements and translate them into data models and flows. - work with tools like apache spark, snowflake, airflow, aws to build reliable and scalable processing jobs. - participate in code reviews, documentation, and testing to ensure high-quality, maintainable code. - monitor pipeline performance and troubleshoot data-related issues as they arise. - follow data security and governance best practices to ensure sensitive data is protected and well-managed. - continuously learn new tools and best practices to improve development processes and system reliability. required skills and qualifications - bachelor's degree in computer science, engineering. - strong programming skills in python or scala, and familiarity with sql. - experience building data pipelines using apache spark. - understanding of data warehousing, data modeling, and relational databases (e.g., redshift, postgresql). - hands-on experience with cloud platforms, preferably aws (s3, lambda, emr, ec2...
We are seeking a highly skilled senior data engineer to join our team and contribute to the development of a robust data infrastructure. in this role, you will be responsible for designing, building, and maintaining data pipelines using various tools and technologies, including aws redshift, aws lambda, astronomer, dlt, and dbt. you will work closely with analytics, product, and marketing teams to ensure that datasets are documented, accessible, and fit for purpose. our ideal candidate will have 7+ years of experience in data engineering or data platform development, with a strong background in amazon web services (aws), python development, and sql skills. additionally, they will have proven experience with astronomer, rest api integrations, dlt, and dbt. we offer a competitive salary and benefits package, as well as opportunities for professional growth and development. if you are passionate about working with data and contributing to the success of our organization, we encourage you to apply. job responsibilities: - design, build, and maintain robust data pipelines using aws redshift, aws lambda, astronomer, dlt, and dbt - work closely with analytics, product, and marketing teams to ensure that datasets are documented, accessible, and fit for purpose - collaborate with cross-functional teams to identify business needs and develop solutions that meet those needs - develop and maintain high-quality software code using agile methodologies qualifications: - 7+ years of experience in data engineering or data platform development - strong background in amazon web service...
About the role we are seeking a highly skilled senior data engineer to join our team in latam. the successful candidate will participate in all aspects of the software development lifecycle, including estimating, technical design, implementation, documentation, testing, deployment and support of applications developed for our clients....
We are seeking an experienced senior data engineer to join our team. as a key member of our data engineering department, you will play a crucial role in designing and implementing scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. key responsibilities: - contribute to the design and implementation of a lakehouse solution, leveraging technologies such as iceberg, snowflake, and bigquery. - build and maintain robust etl/elt workflows using python and sql to handle structured and semi-structured data. - partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. - ensure data quality, governance, security, and compliance across pipelines and data stores. - monitor, troubleshoot, and improve the performance of data systems and pipelines. requirements: - 5+ years of hands-on experience in data engineering, with at least 2 years working with bigquery or snowflake. - strong programming skills in python for data processing and automation. - advanced proficiency in sql for querying and transforming large datasets. - solid understanding of data modelling, warehousing, and performance optimization techniques. - proven experience in data cataloging and inventorying large-scale datasets. benefits: this is an excellent opportunity to work with a talented team of data engineers and scientists, and to contribute to the development of innovative data solutions. you will have the chance to work on challenging projects, collaborate with cross-functional teams, and grow your care...
We are transformation specialists, uniting human expertise with ai to create scalable tech solutions. with over 6,500 worldwide, we have built partnerships with more than 1,000 clients during our 30 years of history. artificial intelligence is our reality. key responsibilities: 1. create scalable data pipelines and data lake/data warehouse solutions. 2. implement dimensional data modeling and data governance strategies. 3. develop best practices in data engineering for the pipelines developed, ensuring data quality at each step. 4. expertise in data streaming and real-time processing, knowing when to use each format depending on the use case. 5. develop and maintain scripts in sql and python. 6. diagnose and resolve data-related issues, ensuring minimal disruption to operations. 7. closely collaborate with analysts, software engineers, and stakeholders to align data solutions with product goals. 8. implement automated tests to ensure the reliability, integrity, and quality of data solutions. necessary skills and qualifications: - proven experience in data engineering, preferably in a high-performance environment. - strong proficiency in sql, python, and cloud services. - solid understanding of databases, data governance, and data modeling. - experience with etl processes. - able to diagnose and resolve issues in data-related operations. - excellent collaboration skills to work effectively with cross-functional teams. - experience with automated testing and familiarity with testing frameworks. - proficiency in english. benefits and perks: - premium healthcare - meal vo...
Job title: data engineer about the role we're seeking an experienced professional to fill a key position within our organization. as a data engineer, you will be responsible for designing, developing, and maintaining complex data systems. responsibilities - design and develop scalable data architectures - maintain and optimize existing data systems - collaborate with cross-functional teams to identify business needs and implement solutions requirements to be successful in this role, you'll need: - a minimum of 5 years of experience working professionally as a data engineer - strong proficiency in python - solid experience with gcp services, including big query - english proficiency at b2 level or above - location flexibility: latam nice to have the following qualifications would be advantageous: - experience with ai technologies - bachelor's degree in computer science, software engineering, or a related technical field we're looking for a skilled professional who is passionate about delivering high-quality solutions. if you're excited about this opportunity, please submit your application....
Transform your career with our data engineering role we're a rapidly growing organization seeking a talented senior data engineer to join our team. as a key member, you'll play a vital role in designing and building scalable data infrastructure and pipelines. this is an exciting opportunity to collaborate with cross-functional teams to ensure the availability, reliability, and efficiency of data systems, empowering data-driven decision-making across the organization....
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