Data Architecture Engineering Associate
Mexico
Applications have closed
Hitachi Vantara
Driving digital innovation with advanced storage solutions, partnerships and eco-friendly storage technologies.Our Company
We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data.
If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.
The role
This Data Engineer will be working on ingesting data from multiple sources into Data Lake using ETL tools, API calls, Python scripts etc. He/She will be working on supporting/enhancement of existing data pipelines. This person is responsible for maintaining coding standards & documentation of completed work. He/She will be monitoring the production tasks and make sure the issues are fixed on time. Candidate will be working closely with Devops. & Data Teams.
What you’ll bring
Must have 2 to 5 years of hands-on experience in Data Engineering or a related role.
Strong Experience With ETL Processes and tools(Ex: Pentaho, SSIS, Informatica, HVR etc.)
Experience with data pipeline automation and orchestration tools.(ex: Airflow)
Good understanding of concepts related to data architecture and modeling.
Proficiency in one or more programming languages such as Python, SQL.
Strong debugging/troubleshooting skills.
Experience with monitoring/logging solutions.
Experience in AWS cloud.
Experience with modern data development practices (e.g., data lakes, real-time streaming, etc.).
Always ready to learn more and adopt new cutting-edge technology with the right value proposition.
Being a fast learner, adaptable to changing landscapes, and most importantly, a strong believer in being hands-on.
A MUST: Linux, AWS S3, AWS Lambda, AWS Glue, Athena, Redshift, EC2, Airflow, Spark.
Concepts Required: Database, Data Warehouse, Big Data, Data Governance, Data Security. Experience in GIT, CI/CD.
About us
We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.
#LI-CB1
Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture Athena AWS AWS Glue Big Data CI/CD Data governance Data pipelines Data warehouse DevOps EC2 Engineering ETL Git Informatica Lambda Linux Pentaho Pipelines Python Redshift Security Spark SQL SSIS Streaming
Perks/benefits: Equity / stock options Flex hours Health care Startup environment
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