Data Engineer
hace 2 semanas
**BAT is evolving at pace - truly like no other organisation.****To achieve the ambition, we have set for ourselves, we are looking for colleagues who are ready to live our ethos every day. Come be a part of this journey****BAT MEXICO IS LOOKING FOR A DATA ENGINEER ANALYST****SENIORITY LEVEL**:Non management**FUNCTION**: DBS - Technology Solutions**LOCATION**:Monterrey**WHAT YOU WILL BE ACCOUNTABLE FOR**- Implements data ingestion pipelines from multiple data sources- Participate in the development of scalable, self-service frameworks for data ingestion, processing- Will develop end to end data pipelines to take data from data source to target data repositories ensuring the quality and consistency of data- Participate in the reviews of design, code, data, features implementation performed by other data engineers in support of maintaining data engineering standards- Support and maintain data pipeline/ETL architecture- Help documenting and building standard processes in the following areas: Design & Analysis, Automation, Testing, Monitoring, Documentation- Tests, integrates, and maintains technology services - including writing and execution of test plans, debugging, and testing scripts and tools.- Supports the issue resolution with cross functional teams and vendors.- Serves as a productive project team member delivering high quality results for assigned tasks.- Assists the project manager by ensuring delivery timelines for assigned tasks**ESSENTIAL EXPERIENCE, SKILLS, AND KNOWLEDGE**- Bachelor's Degree in computer science, computer information systems or related business experience- Minimum of 1-2 years of hands-on working experience - in related topics- Experience with SQL / Python programming- Knowledge/ Experience with extract, transform, load (ETL) pipelines on large data sets- Basic Knowledge of Cloud Data Warehousing technologies- Ability to quickly understand data structures/requirements- Excellent analytical and problem-solving skills.- Experience with reporting tools and data sources.- Extensive experience with data engineering tools, languages, frameworks to mine, cleanse and explore data.- Excellent written and verbal communication skills in English- Experience with requirements gathering and implementation**BENEFICIAL**- **Expertise and experience with software development and related techniques and methodologies such Agile**:- ** Experience with Big Data Technologies (Hadoop, Teradata, Snowflake, etc.)**:- ** Python / PySpark proficiency/experience**:- ** Experience in Big Data and non-Big Data cloud-based enterprise solutions in PySpark, SQL and related frameworks/libraries**:- ** Experience developing and implementing Machine Learning Operations (MLOps) frameworks**:- ** Proficient in Airflow, Git, Jenkins, Spark, Databricks**:- ** Experience with Databricks work in large environment**:- ** Experience with cloud data warehouse in large environment**:- ** Databricks & AWS Data Analytics Certifications****WE ARE BAT**At BAT we are committed to our Purpose of creating A Better Tomorrow. This is what drives our people and our passion for innovation. **See what is possible for you at BAT.**- Global Top Employer with 53,000 BAT people across more than 180 markets- Brands sold in over 200 markets, made in 44 factories in 42 countries- Newly established Tech Hubs building world-class capabilities for innovation in 4 strategic locations- Diversity leader in the Financial Times and International Women’s Day Best Practice winner- Seal Award winner - one of 50 most sustainable companies**BELONGING, ACHIEVING, TOGETHER**Collaboration, diversity, and teamwork underpin everything we do here at BAT. We know that collaborating with colleagues from different backgrounds is what makes us stronger and best prepared to meet our business goals. **Come bring your difference
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