DESCRIPTION
You are curious, persistent, logical and clever a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems.
If this sounds like you, this could be the perfect opportunity to join EPAM as a LEAD BIG DATA ENGINEER . Scroll down to learn more about the position’s responsibilities and requirements.
We are looking for an experienced, proactive, and responsible Lead Engineer with excellent Big Data skills to join our fast-growing office.
We are looking for a developer who takes part in data integration solution for a variety of clients.
Responsibilities
Lead team and provide daily direction
Work with onsite and EPAM and Client’s Project Managers, Solution Architect, and Data Engineers
Provide updates to key stakeholders
Help tracking project work and maintaining project scope
Provide technical suggestions and recommendations
Help establish best practices for engineering team
Perform code reviews for both our different Data teams
Requirements
4+ years of experience involved in Data Integration projects
2+ years of Java development experience
1+ years of experience as leading Big Data solutions
Hadoop Knowledge
Git experience
Google Cloud Platform ( GCP ) PubSub service as a source and destination for data to be ingested and processed
Google Cloud Platform ( GCP ) BigQuery service as a source and destination for data to be ingested and processed
Google Cloud DataFlow service as computational engine
Google Cloud Storage (GCS) as a data store for application artifacts
Google Cloud Firestore as an application configuration store
Google Cloud Cloud Functions as an execution mechanism for the Dataflow jobs
Google Cloud Scheduler as a scheduling tool for batch Dataflow jobs
Google Stackdriver as a monitoring and alerting tool
Apache Beam as data transformation engine
Jenkins as the build & deploy automation tool
Google cloud experience is a nice to have, any other cloud platform experience can be considered for the role if you are interested in learning GCP
Nice to have
Good understanding of Cloud Computing
Experience in the popular technologies in the machine learning / big data ecosystem
We offer
Career plan and real growth opportunities
Unlimited access to LinkedIn learning solutions
International Mobility Plan within 25 countries
Constant training, mentoring, online corporate courses, eLearning and more
English classes with a certified teacher
Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more.)
Flexible work schedule and dress code
Collaborate in a multicultural environment and share best practices from around the globe
Hired directly by EPAM & 100% under payroll
Law benefits (IMSS, INFONAVIT, 15 days December bonus, 25% vacation bonus)
Major medical expenses insurance : Life, Major medical expenses with dental & visual coverage. (For the employee and direct family members)
13 % employee savings fund, capped to the law limit
Grocery coupons
10 vacations days plus 2 floating days
Official Mexican holidays, plus two extra holidays (December 24th & 31st)
Relocation bonus : transportation, 2 weeks of accommodation for you and your family and more