Position: Corsound AI - Data Engineer
Company: SD Solutions
Category: Data Engineer
Experience required: 5y
English level: upper

On behalf of On behalf of Corsound AI, SD Solutions is looking for Data Engineer to join the team!

As a Senior Data Engineer, you will play a pivotal role in developing and maintaining scalable data pipelines, and implementing large-scale data processing. You will work closely with cross-functional teams, including data scientists and analysts, to ensure the delivery of high-quality data solutions.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

- Design, develop, and maintain scalable and robust ETL pipelines using PySpark on AWS EMR to process large volumes of structured and unstructured data.

- Optimize data processing workflows and architect solutions for performance improvements.

- Collaborate with data scientists and analysts to understand data needs, and translate these requirements into data models and pipelines.

- Employ AWS services (e.g. S3, EC2, RDS, Lambda) for storage, computation, and other data-related tasks.

- Implement data quality checks, monitoring, and alerts to ensure the integrity and reliability of data pipelines.

- Advise on and implement best practices for data governance, security, and compliance.

- Assist in migrating data from on-premise solutions to cloud-based systems, and manage cloud-based data warehouses and data lakes.

- Provide mentorship and guidance to junior data engineering team members.

- Actively participate in agile development processes, including sprint planning, stand-ups, and retrospectives.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

- Minimum of 5 years of experience in data engineering with a focus on big data solutions. 
- Strong proficiency in PySpark is essential.

- Hands-on experience with AWS EMR and other AWS services, including S3, RDS, and Lambda.

- Solid understanding of data warehousing concepts, data modeling, and schema design. - Knowledge of SQL and NoSQL databases.

- Proficient in scripting languages, such as Python or Scala.

- Experience with workflow management tools, such as Apache Airflow or AWS Step Functions.

- Ability to work effectively in cross-functional teams and communicate complex data concepts to non-technical stakeholders.

- Excellent problem-solving, analytical, and communication skills.

- Familiarity with data governance and data security best practices.

Advantages:

- AWS Certifications, such as AWS Certified Big Data or AWS Certified Data Analytics.

- Experience in a continuous integration and deployment (CI/CD) environment.

- Familiarity with additional big data technologies such as Hadoop, Hive, or Kafka.

About the company:

CorSound AI disrupt security, safety, and intelligence sectors with innovative AI-powered solutions and are rapidly advancing opportunities in the medical and financial security industries

Our goal is to become a leading company in the field of personal recognition based on voice, and automated facial reconstruction based on sound/voice.

We are using cutting-edge AI techniques to treat human voice using image processing techniques.

Members of our algorithms team develop world-class speaker recognition and voice processing solutions that are on the biometric levels.