- +2
- +19
- London, England
Über
Big Data : Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch - your interest is the first step to starting the conversation. What This Role Requires: · 1-4 years of programming experience after your degree
- Must have coding experience in both Python and SQL
- It is preferred that you have experience in at least one of the following additional languages: Java, C#, C++, Scala
- Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake
- Good understanding of object-oriented programming (OOP) principles & concepts
- Familiarity with advanced SQL techniques
- Familiarity with data visualization tools such as Tableau or Power BI
- Familiarity with Apache Flink or Apache Storm
- Understanding of DevOps practices and tools for (CI/CD) pipelines.
- Awareness of data security best practices and compliance requirements (e.g., GDPR, HIPA). To Qualify:
- You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an onsite, in-office position.
- Strong English communication skills, both written and verbal.
- Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.
- What’s In It For YOU?
- Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.
- Receive relocation support for training and project assignments, as required.
- Enjoy comprehensive W2 employee benefits.
- Access full coverage medical, dental, and vision insurance.
- Qualify for 401K eligibility after one year of employment.
- Benefit from basic life/AD&D and dependent disability (short/long term) coverage
Wünschenswerte Fähigkeiten
- Python
- SQL
- Java
- C#
- C++
- Scala
- Hadoop
- HDFS
- Spark
- Hive
- MongoDB
- Kafka
- AWS
- Azure
- Tableau
- Power BI
- Apache Flink
- Apache Storm
- DevOps
Berufserfahrung
- Data Engineer
- Data Infrastructure
Sprachkenntnisse
- English