Capgemini Engineering

Senior Big Data Engineer (Python, multilocation)

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

As a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.

YOUR TASKS


  • Obtains tasks from the project lead, prepares functional and design specifications, approves them with all stakeholders
  • Ensures that assigned area/areas are delivered within required quality objectives
  • Provides estimations and contributes to project plan of assigned area
  • Analyses scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise
  • Addresses area-level risks, provides and implements mitigation plan
  • Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR
  • Responsible for resolving crisis situations within his/her AOR
  • Suggests technical and functional improvements to add value to the product
  • Constantly improves his/her professional level
  • Collaborates with other teams.
  • To work 2-3 days per week in cooperation with colleagues from North America in the evenings hours (till 20:00 PL time)


YOUR PROFILE


  • 4+ years of professional experience
  • University degree in Computer Related Sciences or similar
  • 3+ years experience working in data engineering
  • Expert in Database fundamentals, SQL and distributed computing
  • Experience in ETL orchestration and workflow management tools like Airflow
  • Proficiency in Python
  • Experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink
  • Experience working with Databricks, Snowflake, PostgreSQL and/or other DBMS platforms
  • Experience with AWS
  • Excellent communication skills and experience working with technical and non-technical teams


What You’ll Love About Working Here


  • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
  • Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.


GET TO KNGET TO KNOW USOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

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