Our client, a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working with our client means working on the leading edge, with a community of the right people around you. Job Description As a Lead Data Engineer joining the Advanced Analytics practice, you’ll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation. You’ll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake, data processing, and data pipeline design to help them achieve their business goals. You will work closely with your team including analysts, architects, and technical project managers to design solutions and work together to deliver a world-class solution. You’ll strike a balance of technical skills and business acumen to help clients better understand their core needs and what is possible for a future state. What you’ll do: Design and develop cloud ELT and data pipelines Develop CI/CD pipelines and other DataOps fundamentals Communicate at the appropriate level to both business and technology teams to understand business needs and pain points Be creative in meeting the client’s core needs with their technology Explain technical benefits and deficits to non-technical audiences Learn new data tools and best practices Qualifications Required: 8+ years of cloud data engineering experience 2 years of experience as a technical lead, managing and mentoring a team of data engineers. Experience designing and developing cloud ELT and data pipelines with various technologies such as Python, SQL, Airflow, Talend, Matillion, DBT, Fivetran Experience with AWS: Glue, S3, Athena Experience in working with the business to understand the appropriate data model (relational, tabular, transactional) for their data solution Deep experience designing and building performant ELT jobs to move and transform data from various source types and performing exploratory data analysis, data cleansing, and aggregation Experience with scaling & automation to data preparation techniques Experience with developing and operating CI/CD pipelines and other DataOps fundamentals Experience developing client-facing, core design documents: data flows, source to target, requirements, data lineage, and data dictionary. Understanding of data modeling (such as Kimball, Inman, and Data Vault design approaches) Excellent foundation of consulting skills: analytical, written and verbal communication, and presentation skills Demonstrated ability to identify business and technical impacts of user requirements and incorporate them into the project schedule Excellent written and verbal English communication skills. Preferred: An undergraduate degree in technology or business Microsoft or AWS or Snowflake Certifications (Azure Fundamentals, Azure Data Engineer Associate, MCSA [any], Power Platform, AWS Data Analytics Specialty, AWS ML, SnowPro Core, etc.) Experience with Big Data Technologies (Hadoop, PySpark, MongoDB) Experience with Power BI Experience and certifications with Agile, Scrum, and/or SAFe Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at CRG Solutions by 2x Get notified about new Data Engineer jobs in Mexico . Senior Data Engineer, Commerce Insights and Data Products Engineering Mexico City Metropolitan Area 3 months ago Guadalajara, Mexico Metropolitan Area 1 month 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