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Databricks Engineer

●

2 weeks ago

Greece, Attiki, Athens
Full Time
Mid-Level
Hybrid

Basic Information

Cegeka's Data Solutions team manages and executes data platform, BI, Big Data, Advanced Analytics and AI projects for our clients in a pragmatic, low-threshold approach, so that our clients quickly get the right information and can easily grow as the information requirement increases. We always apply a Cloud First Strategy. The years of experience of our specialists, the developed methodology and the feedback from our clients make Cegeka an ideal long-term partner. Both for our clients, business partners and employees.

Responsibilities

Here are the main responsibilities:
In your role as a Data Engineer you will be working remotely, in a customer-facing role, collaborating with colleagues on Business Intelligence, Big Data and Analytics projects.

We expect a lot from you and at same time, we also offer you a lot: modern technologies to work with, exceptionally well-trained colleagues and career opportunities.

  • Create and maintain optimal data pipelines.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimising 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 using Microsoft technologies.
  • Build analytics tools that utilise the data pipeline to provide actionable insights having in mind the key business performance metrics defined by the end customers.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in the data systems.

Requirements

Microsoft Azure
Pyspark
SQL
Requirements:

  • At least 3 years of experience as a Data Engineer
  • Solid experience with Azure Databricks
  • Experience with Azure cloud platform (certifications are nice-to-have, e.g. DP-203)
  • Experience in data pipeline development and data integration.
  • Strong proficiency in programming languages such as SQL and PySpark
  • Experience with big data technologies and distributed computing frameworks such as Spark.
  • Expertise in data warehousing and ETL principles, familiarity with data modelling.
  • Understanding of data governance and data security best practices.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication skills, both written and verbal e.g. being able to convey technical information to non-technical stakeholders
  • Proven experience in customer-facing role
  • Ability to align data insights with customer’s business objectives and strategies
  • Stakeholder expectations management
  • Flexibility in adapting to changing project requirements
  • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously, as you could work on several projects in parallel

Benefits

Extra paid time off
Private health insurance
What we offer:

  • 22 Annual Vacation days, 3 sick days that are not carried over the next year (no medical certificate required), plus a seniority day added every 3 years in the company
  • Meal tickets
  • Private Medical Insurance
  • We offer flexibility when it comes to WFH policy
  • Wellbeing at the center - we know that there is more to our lives than our jobs, therefore we make sure to tackle well-being aspects of our day-to-day lives through specialized sessions, webinars, and internal programs according to our employee's input
  • In close cooperation is a value we live by, through #MomentsThatMatter: monthly hangout parties, team buildings, gamified online experiences
  • Many more to come :)
About the company

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About the company

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Cegeka

Cegeka

Data Science
Data Engineer