Data Engineer

Job Title:Data Engineer

Location:Guadalajara (Hybrid)
Eligibility:Open to Mexican Citizens and Official Residents of Mexico
Language Requirement:Strong English interpersonal skills required

About AstraZeneca:

AstraZeneca is a globally recognized, science-led biopharmaceutical company dedicated to discovering, developing, and commercializing prescription medicines for some of the world’s most serious diseases. More than a leading pharmaceutical company, AstraZeneca is committed to being a Great Place to Work, fostering a supportive and innovative work environment.

About Our IT Team:

Join a dynamic, results-oriented IT team where opportunities abound to learn, grow, and redefine roles continuously. Our team thrives on diversity, with collaborative, cross-functional work and broad support to shape your career path.

Role Overview:

As a Data Engineer, you will be instrumental in driving data engineering initiatives across AstraZeneca's R&D IT portfolio. Your responsibilities will include:

• Providing comprehensive data engineering support, spanning ETL processes, data products, and reporting.

• Conducting rigorous testing and quality assessments to ensure the readiness of D&A solutions for release.

• Ensuring business data and information assets are accessible as services and artifacts for broader enterprise consumption.

• Managing and monitoring Datamart systems to maintain optimal performance and reliability.

• Leading technical workstreams, including ETL pipeline development, debugging, and optimization.

• Serving as a subject matter expert in ETL tools and AWS services, particularly PostgreSQL, Lambda, and S3, resolving technical issues as they arise.

• Encouraging project and customer success through effective deadline management, expectation setting, and delivery of high-quality solutions.

• Guiding team members on critical projects, fostering a proactive and continuous improvement mindset.

Key Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.

• Extensive database experience, specifically with Snowflake, Redshift, and Postgres; including data product management.

• Proficient in tools such as DBT and Fivetran, with a strong command of Python.

• Exceptional ETL skills with hands-on experience with ETL tools and SQL.

• Competence in tuning performance for SQL and ETL pipelines.

• Experience in various data analytics architectures, including traditional warehousing and distributed computing.

• Working knowledge of Python, especially with serverless technologies like AWS Lambda and AWS Glue.

• Proficient in version control systems, ideally Git.

• Strong analytical skills and the ability to resolve both technical and non-technical issues.

• Significant experience in troubleshooting data issues and analyzing end-to-end data pipelines.

• Production experience with CI/CD pipelines using platforms such as GitHub and Jenkins.

• Ability to work effectively in a multicultural environment across different time zones, both independently and as part of a team.

• Passion for learning new technologies and a proactive, enthusiastic approach to Agile environments.

• Excellent written and verbal communication skills in English, with the capacity to inspire collaboration and elevate team dynamics.

When we put unexpected teams in the same room, we ignite ambitious thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and bold world.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.