Senior Data Engineer

**What do we do?**

GFT Technologies is driving the digital transformation of the world’s leading financial institutions. Other sectors, such as industry and insurance, also leverage GFT’s strong consulting and implementation skills across all aspects of pioneering technologies, such as cloud engineering, artificial intelligence, the Internet of Things for Industry 4.0, and blockchain.

We’ve been a pioneer of near-shore delivery since 2001 and now offer an international team spanning 16 countries with a global workforce of over 9,000 people around the world. GFT is recognised by industry analysts, such as Everest Group, as a leader amongst the global mid-sized Service Integrators and ranked in the Top 20 leading global Service Integrators in many of the exponential technologies such as Open Banking, Blockchain, Digital Banking, and Apps Services.

**Role Summary**:
As a Senior Data Engineer at GFT, you will play a pivotal role in designing, maintaining, and enhancing various analytical and operational services and infrastructure crucial for the organization's functions. You'll collaborate closely with cross-functional teams to ensure the seamless flow of data for critical decision-making processes.

**Key Activities**:

- Data Infrastructure Design and Maintenance: Architect, maintain, and enhance analytical and operational services and infrastructure, including data lakes, databases, data pipelines, and metadata repositories, to ensure accurate and timely delivery of actionable insights
- Collaboration: Work closely with data science teams to design and implement data schemas and models, integrate new data sources with product teams, and collaborate with other data engineers to implement cutting-edge technologies in the data space
- Data Processing: Develop and optimize large-scale batch and real-time data processing systems to support the organization's growth and improvement initiatives
- Workflow Management: Utilize workflow scheduling and monitoring tools like Apache Airflow and AWS Batch to ensure efficient data processing and management
- Quality Assurance: Implement robust testing strategies to ensure the reliability and usability of data processing systems
- Continuous Improvement: Stay abreast of emerging technologies and best practices in data engineering, and propose and implement optimizations to enhance development efficiency

**Required Skills**:

- At least 8 years of experience as a Data Engineer
- Technical Expertise: Proficient in Unix environments, distributed and cloud computing, Python frameworks (e.g., pandas, pyspark), version control systems (e.g., git), and workflow scheduling tools (e.g., Apache Airflow)
- Database Proficiency: Experience with columnar and big data databases like Athena, Redshift, Vertica, and Hive/Hadoop
- Cloud Services: Familiarity with AWS or other cloud services like Glue, EMR, EC2, S3, Lambda, etc.
- Containerization: Experience with container management and orchestration tools like Docker, ECS, and Kubernetes
CI/CD: Knowledge of CI/CD tools such as Jenkins, CircleCI, or AWS CodePipeline

**Nice-to-have requirements**:

- Programming Languages: Familiarity with JVM languages like Java or Scala
- Database Technologies: Experience with RDBMS (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., DynamoDB, Redis)
- BI Tools: Exposure to enterprise BI tools like Tableau, Looker, or PowerBI
- Data Science Environments: Understanding of data science environments like AWS Sagemaker or Databricks
- Monitoring and Logging: Knowledge of log ingestion and monitoring tools like ELK stack or Datadog
- Data Privacy and Security: Understanding of data privacy and security tools and concepts
- Messaging Systems: Familiarity with distributed messaging and event streaming systems like Kafka or RabbitMQ

**What can we offer you?**
- Competitive salary
- 13th-month salary guarantee
- Performance bonus
- Professional English course for employees
- Premium health insurance
- Extensive annual leave

**About Us**:
We show commitment to our investors and stand for solid, long-term growth performance. Founded in Germany in 1987 and in American territory since 2008, GFT expanded globally to over 10,000 experts. And to more than 15 markets to ensure proximity to clients. With new opportunities from Asia to Brazil, the international growth story continues. We are committed to grow tech talents worldwide. Because our team’s strong consulting and development skills across legacy and pioneering technologies, like GreenCoding, underpin success. We maintain a family atmosphere in an inclusive work environment.

**Why Choose GFT?**:

- Competitive Compensation
- Benefits package including comprehensive medical, dental, vision and others
- Company Culture based on our Core Values
- Professional Development Training with Individual Development Plans to map out your career growth
- Opportunity to work in a global environment with diverse teams built with colleagues from around the world
- Opportu