Senior Data Engineer

Role Summary:
We are seeking a highly motivated Senior Data Engineer with minimum of 8 years of experience to join our dynamic data engineering team. 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 organizations functions. Youll collaborate closely with crossfunctional teams to ensure the seamless flow of data for critical decisionmaking 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 cuttingedge technologies in the data space.
• Data Processing: Develop and optimize largescale batch and realtime data processing systems to support the organizations 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:

• 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.

Nicetohave 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
• 13thmonth salary guarantee
• Performance bonus
• Professional English course for employees
• Premium health insurance
• Extensive annual leave

Remote Work :

No