Data Engineer

Summary

Join Talentus, a US company with a global presence, as a Data Engineer! You will collaborate with an agile team to build high-quality data pipelines, generating insights from connected data to drive data-driven decision-making. This role demands expertise in data architecture, engineering, and analysis, along with a basic understanding of data science. As a skilled data engineer, you will create data products supporting analytics solutions, solve complex data problems, and deliver insights to enable analytics strategy. The position offers a contractor model with 100% remote work, a USD salary, paid vacations, birthday day offs, benefits courses/certifications, and work on leading projects for US customers.

Requirements

• Bachelor's degree preferred; Computer Science, MIS, or Engineering preferred
• 5+ years of experience working in data engineering or architecture role, 7+ preferred (3 years preferred for Jr. role)
• Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.)
• Proficiency in programming languages such as Python, Java, Scala, or SQL
• Experience developing and maintaining ETL/data pipelines (e.g., Microsoft SSIS, Azure Data Factory)
• Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
• Strong knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
• Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka
• Strong written and verbal communication skills
• Demonstrated success with problem-solving and learning skills
• Ability to work and direct work with excellent communication, listening, and influencing skills
• English C1 or above is required
• Ability to handle ambiguity and willing to adjust position based on additional information
• Ability to collaborate and influence at an abstract level and gain consensus
• Comfortable working within a matrixed environment

Responsibilities

• Design, develop, and maintain data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources
• Implement ETL (Extract, Transform, Load) processes to ensure data is transformed and loaded into data warehouses, data lakes, or other storage solutions
• Create data products for analytics and data scientist team members to improve their productivity
• Create and maintain comprehensive documentation for data pipelines, data models, and database configurations
• Conduct training sessions and provide support to end-users and other team members on data access and usage
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Develop and implement data quality checks, validation rules, and monitoring processes to ensure data accuracy and completeness
• Collaborate with data governance teams to establish and enforce data standards and best practices
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives

Preferred Qualifications

• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
• Exposure to machine learning data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Experience with ETL tools and processes (e.g., Apache NiFi, Talend, Informatica)
• Cloud environment preferred but not required
• Passionate about data-driven development, reliability, and experimentation
• Experience working on a collaborative agile product team
• Passionate and curious about data

Benefits

• Contractor model
• 100% remote
• Salary in USD
• Paid Vacations
• Day off for birthdays
• Benefits courses and/or certifications
• Work on leading projects for our US customers, and not on the bench