SENIOR DATA ENGINEER - AWS ECOSYSTEM

40.000.000 - 80.000.000


Join to apply for the Senior Data Engineer - AWS Ecosystem role at Applaudo 1 week ago Be among the first 25 applicants Join to apply for the Senior Data Engineer - AWS Ecosystem role at Applaudo You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally. You bring to Applaudo the following competencies: 8–10+ years of hands-on experience in data engineering, with a strong focus on data marts, data warehouses, and data lakes. Proven ability to write scalable, testable code and support the SDLC alongside Development Leads. Expertise in SQL, SSIS, AWS Glue, AWS DMS, Redshift, Step Functions, S3, Athena, and Kinesis for building data pipelines. Proficient in GitHub for version control and collaborative development. Experience with CI/CD tools such as TeamCity or GitHub Actions. Familiarity with infrastructure-as-code tools like Terraform and Jenkins. Skilled in AWS CLI for service management and task automation. Strong programming skills in Python, including experience with PySpark. Solid understanding of database systems, data modeling, and workflow optimization. Strong grasp of network concepts, algorithms, data structures, RDBMS, OOP, and design patterns. Excellent problem-solving skills and strong attention to detail. Effective communicator and team collaborator. Proficiency in English, as the role requires direct communication with US-based clients. You will be accountable for the following responsibilities: You will have a track record for developing high-quality application by implementing testable and scalable code. You will be an integral part of the development team for new modules and enhancements to industry-leading SaaS-based incentive management platform. You will design, develop, and maintain robust data architectures, including data marts, data warehouses, and data lakes. You will manage and build ELT and ETL pipelines between internal data and external data stores for the broader data team. You will leverage AWS services to build and optimize data storage and processing solutions. Documenting data engineering processes, standards, and best practices. Abide by organization security policies and practices. Additional Information Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking. Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region! We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence. Some of our perks and benefits: Work from home Celebrations Entertainment area Great work environment Private medical insurance *B enefits may vary according to your location and/or availability. Request further information when applying. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Applaudo by 2x Sign in to set job alerts for “Data Engineer” roles. Bogota, D.C., Capital District, Colombia 1 week ago Bogota, D.C., Capital District, Colombia 1 week ago Bogota, D.C., Capital District, Colombia 3 months ago Data Visualization Engineer (Latin America) Bogota, D.C., Capital District, Colombia 3 weeks ago Data Visualization Engineer - PowerBI Senior Bogota, D.C., Capital District, Colombia 3 weeks ago Bogota, D.C., Capital District, Colombia COP3,500,000.00-COP4,000,000.00 2 weeks ago Sr. Data Engineer (@Remote, Chile and Colombia) Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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