*This position is also open to work remotely from anywhere in Mexico*
Who is Tech Mahindra?
At Tech Mahindra, we not only provide Agile and DevOps methodologies to our customers, we have adopted the same within the company as well. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers. Each day, we strive to make great come alive. Our lemma: “work smart and play hard”
Our technology partners are Hashicorp, Cloudbees, Chef, Pagerduty, Docker and SAP.
We are always looking for the brightest candidates to come and we offer a work environment with everything you need to be your best. Does Ambition, Success, Fun, Friends & Learning define your idea of a career? Join us and be part of our family!
We’re looking for a Data Engineer to work 100% remotely for a Swiss Mulnational Healthcare Company.
This is a growth opportunity with a team where you will be empowered to unleash your potential. We encourage candidates who are looking for career development opportunities, autonomy and an environment to embrace your creative potential.
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Job Description
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data
- delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
- operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related
- technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our
- product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Work with system integration and middlewares (MuleSoft, Talend, Solace and etc)
- Perform proof of concept with customer in data integration and data load
- Managing structure and unstructured data set
- Managing and design data privacy, integrity and security solution
- Managing data with high confidentiality, integrity and privacy
Skills
- Experience with working in agile methodologies (Scrum or SAFe)
- Good teamwork and communication skill (Higher Performance Team)
- Able to be self organized and focus in delivering values to the business
- Always work with integrity, passion and courage
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) and Nosql unstructured database
- Familiarity with a variety of databases (Microsoft SQL is mandatory).
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Preferable middleware knowledge, example: MuleSoft, Solace.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate
- degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
We look for engineers that demonstrate passion for what they do and develop. They must be curious, persistent to find the right solutions to resolve complex problems and able to communicate and express ideas properly.
What you can expect from us
At Tech Mahindra, what distinguishes us from other teams is the comfortable environment which engenders trust within teams and with our customers. Trust and openness leads to quality, innovation, commitment to deliverables, efficiency and cost-effectiveness for all our customers.
- Work with some truly remarkable IT engineers, architects, specialists and more.
- We’re growing at a phenomenal pace and we’d like some company.
- Hear your voice, nurture your talent and help you strengthen your foot print!
- Benefits above the law
- Mentorship, and opportunities to grow and learn
If you apply for this opportunity we will get you resume and its contain personal data whose treatment has been authorized by its owner for Digital OnUs, S. de RL de CV (the "Company”). If you are not the owner of this information or have no relation whatsoever with the subjects treated in it, you are requested in the most attentive way not to make copies of it and / or its attached files and delete it immediately, under the risk of being considered as responsible for the unauthorized treatment of personal data in accordance with the Federal Law on Protection of Personal Data Held by Private Parties, its Regulations, and other applicable regulations. If you are the owner of personal data in possession of the Company and wish to obtain further information regarding the processing of your personal data or the exercise of your ARCO rights, please consult our integral privacy notice on the website https://www.digitalonus.com/privacy-policy/
