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Lead Data Software Engineer (Spark / Scala / Databricks)

Lead Data Software Engineer (Spark / Scala / Databricks)

EPAM Systemsmadrid, España
Hace 2 días
Descripción del trabajo

Lead Data Software Engineer (Spark / Scala / Databricks)

Join to apply for the Lead Data Software Engineer (Spark / Scala / Databricks) role at EPAM Systems

Lead Data Software Engineer (Spark / Scala / Databricks)

6 days ago Be among the first 25 applicants

Join to apply for the Lead Data Software Engineer (Spark / Scala / Databricks) role at EPAM Systems

Are you an open-minded professional fluent in Scala programming language? If that sounds like you, this could be the perfect opportunity to join EPAM as a Lead Data Engineer . We are looking for a team player with excellent communication and organizational skills, mastery in engineering and a B2+ / C1 level of English to communicate fluently with English-speaking stakeholders, share ideas and provide reasoning.

As part of this project, our Data teams are working on migrating Data Products pipelines from Oracle workloads to Databricks. At EPAM, you will enter a dynamic, agile work environment, serving Fortune 1000 clients while adhering to best engineering practices. If you're a forward-thinking Scala expert with a passion for transforming data solutions, join us in Madrid, Málaga, or remotely across Spain to be at the forefront of innovation with EPAM!

Responsibilities

  • Develop, monitor, and operate the most used and most critical curated data pipeline at client’s - Sales Order Data (incl. post-order information, e.g. shipment, return, payment)
  • Consulting with analysts, data scientists, and product managers to build and continuously improve "Single Source of Truth" KPI for business steering such as the central Profit Contribution measurement (PC II)
  • Redevelop old legacy pipelines to new, advanced, and standard versions that are easy to maintain and scalable for future demands
  • Leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala

Requirements

  • Expertise in Apache Spark along with Spark streaming
  • Good hands-on experience with Databricks and delta-lake
  • Fluency in Scala programming language
  • Expertise in SQL
  • Good understanding & hands-on experience with CI / CD
  • Rich working experience with GitHub
  • Fluency working with AWS landscape
  • Ability to build Apache Airflow pipelines
  • Nice to have

  • Presto
  • Superset
  • Starburst
  • Oracle & Exasol
  • We offer

  • Private health insurance
  • EPAM Employees Stock Purchase Plan
  • 100% paid sick leave
  • Referral Program
  • Professional certification
  • Language courses
  • EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

  • Why Join EPAM
  • WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
  • CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
  • CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project / Delivery Manager.
  • STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.
  • Seniority level

  • Seniority level Mid-Senior level
  • Employment type

  • Employment type Full-time
  • Job function

  • Job function Business Development, Information Technology, and Engineering
  • Industries Software Development and IT Services and IT Consulting
  • Referrals increase your chances of interviewing at EPAM Systems by 2x

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