Lead Data Engineer

Join to apply for the Lead Data Engineer role at Ottomatik.io 6 days ago Be among the first 25 applicants Hi there! We are South and our client is looking for a Lead Data Engineer . Note To Applicants Eligibility: This position is open to candidates residing in Latin America. Application Language: Please submit your CV in English. Applications submitted in other languages will not be considered. Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority. Duties & Responsibilities Developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence. Designing and developing scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid). Leading data discovery sessions with business teams, including product owners, data analysts, and cross-team technologists to understand enterprise data requirements for analytics projects. Ensuring proper testing and monitoring are in place to provide trusted and reliable data from the data stack. Partnering with business domain experts, system analysts, data/application architects, and development teams to align data design with business strategy. Identifying and documenting standard methodologies, standards, and architecture guidelines. Assisting Business Intelligence Engineers through technical hurdles impacting delivery. Participating in a shared on-call rotation monitoring the health of the team’s systems. Essential Knowledge, Skills, and Abilities 3+ years of data architecture related experience such as data analysis, data modeling, and data integration. 5+ years of experience in custom ETL design, implementation, and maintenance. Advanced knowledge of programming languages (e.g., Python and Object-Oriented Programming). Hands-on experience with SQL database design. Experience working on Cloud Platforms (AWS or Google). Experience with CI/CD processes and source control tools such as GitHub and GitLab. Experience working with relational databases (Snowflake, Redshift). Strong knowledge of orchestration tools (AirFlow preferred), file storage systems (AWS S3, Google Cloud Storage), partitioning, and real-time data processing. Strong knowledge of Agile/Scrum methodology and iterative practices in a service delivery lifecycle. Excellent communication and interpersonal skills with the ability to influence a large organization. Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field. Bonus Points Experience with reporting tools such as Tableau. Experience with event streaming tools like Kafka or Kinesis. Experience with subscription service products. Knowledge of accounting, FP&A, and marketing functions. Schedule: Monday to Friday, between 7:30 or 8:00 AM to 4:00 or 4:30 PM – PST Compensation: USD salary Location: 100% remote Time Off: Unlimited PTOs If this opportunity sounds good to you, send us your resume! Seniority level Executive Employment type Full-time Job function Analyst Industries Data Infrastructure and Analytics Referrals increase your chances of interviewing at Ottomatik.io by 2x Get notified about new Data Engineer jobs in Greater Mendoza . #J-18808-Ljbffr