Data Engineer

hace 2 semanas

Ciudad de México RMx DEV S de R L de C V A tiempo completo

Overview

As a Sr. Data Warehouse Engineer in this team, you will be responsible for collecting, storing, processing, and analyzing huge sets of data in a cloud based data lake. Working alongside other Data Engineers and Data Architects your primary focus will be choosing optimal solutions to design, develop, implement, monitor & maintain key deliverables to support the businesses growing need for data consumption. You will also be responsible for integrating them with the architecture used across the company.
Enabling BI and Insight Analysts to easily interrogate and navigate data in a meaningful way and helping them to create actionable insight for the business.

If you have 'Big Data' experience and able to conduct Enterprise Data modelling for Analytics, and are passionate about data and how impactful it can be then this may be the role for you

**Key Responsibilities**:

- Build ingestion pipelines in the cloud-based Data Lake to accommodate multiple data sources in line with our Data Architects principles. This will need to be able to support real time streaming and batch ingestion.
- Partner with the Data Scientists, Architects, software developers, and business experts to understand how data needs to be translated, modelled and presented for consumption. Striving for One version of truth.
- Interrogate and model data from multiple sources, translating into an Enterprise useable logical data model fit for Analyst consumption.
- Through data and understanding of business processes, advise on Analytical uses in Insight
- Provide guidance and translation to Analysts on how to interpret and navigate the data for specific use case.
- Providing estimates of work received and ratifying these estimates based on experience/facts.
- Provide clear documentation of the business rules embedded in the modelled data ensuring full transparency of data transformations
- Identify and champion process improvements including data content, quality, standardization, automating manual processes and optimizing data delivery.

**Qualifications**:

- Experience in the following would be of benefit: Python, Spark, R, SQL,.net, Java, C++
- Big Data experience (Microsoft Azure, Hadoop, Google BigQuery etc)
- Working knowledge of Azure Data Factory, Data Lake, DataBricks and Synapse Analytics
- Working Knowledge of Power BI and providing optimized data sets that can be fully utilized by the product.
- Able to translate business requirements into detailed technical design
- Experience with integration of data from multiple data sources
- Machine Learning, AI and Automation techniques for Data Management & Analytics
- Awareness of Data Management best practice, including Data Lifecycle Management across Core IT & Big Data ecosystems as well as Data Privacy & Security constraints

Following is a list of physical and mental requirements identified as necessary to achieve the essential functions of this role:
Attendance - Ability to maintain the scheduled days and hours, including onsite presence at the assigned location as specified.
Physical Capacities - Lift up to 25 pounds on occasion, sitting and standing for extended periods.
Operation of Office Equipment — Job requires operation of equipment common to office settings, including computers, copiers, and other office equipment, including Near Vision, Manual Dexterity, and working in proximity to equipment.
Oral Communication Skills - Speaking, Speech Clarity, and Speech Recognition.
Written Communication Skills - Writing, Reading and Written Comprehension, and Written Expression.
Mental Capacities - Achievement/Effort, Active Listening, Adaptability/Flexibility, Analytical Thinking, Attention to Detail, Category Flexibility, Concern for Others, Cooperation and Coordination, Critical Thinking, Deductive Reasoning, Dependability, Independence, Inductive Reasoning, Information Ordering, Initiative, Innovation, Maintenance of Relationships, Integrity, Oral Comprehension and Expression, Problem Sensitivity, Selective Attention, Self-Control, Service Orientation, Social Orientation, Social Perceptiveness, Stress Tolerance, Support, and Time Management.

Our commitment to excellence in customer service is only part of our story. We are also dedicated to supporting our most valuable asset, our associates One of the ways we do this is by offering a variety of high-quality benefits for our associates and their families.

All full-time associates receive the benefits of law and are eligible for the following benefits:
Mayor Medical Insurance for Family
Life insurance
Food Coupons
10 days of vacation
30-day year end bonus

We're an equal opportunity employer and we welcome diversity and inclusion Reece USA is an Equal Opportunity Employer— Employer Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, and any other status protected by law.

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