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Senior Data Engineer

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or related field, Proven experience in senior data engineering roles, Strong understanding of database architecture and query optimization, Hands-on experience with AWS services.

Key responsabilities:

  • Lead the architecture of scalable database solutions
  • Build, maintain, and optimize data pipelines for ML workflows
Patra Corporation logo
Patra Corporation Insurance XLarge http://www.patracorp.com/
5001 - 10000 Employees
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Job description

About Patra

Patra Corporation is the worldwide leader in insurance back-office and account management business process outsourcing. Patra offers a wide range of services designed to lower costs, reduce risk and improve employee productivity through the transfer of account management and business support functions, such as policy checking, certificate issuance, eligibility processing, quality control and account audits, to operation centers in the US, India, and the Philippines.

The Team

The Artificial Intelligence team at Patra drives the development and deployment of cutting-edge AI/ML solutions that fuel the organization’s business goals. By leveraging the latest advancements in data engineering, machine learning, and cloud technologies, the team fosters a collaborative and innovative environment where learning and growth are highly valued.

The Opportunity

Patra is seeking a Senior Data Engineer to join our dynamic Artificial Intelligence team. As a senior member, you will play a critical role in architecting and maintaining scalable data infrastructure and pipelines that enable seamless integration of machine learning solutions. You will collaborate with data science, software, and infrastructure teams to design robust, efficient, and secure data systems that align with Patra's AI strategy and long-term objectives.

Core Duties

  • Lead the architecture and design of scalable and secure database solutions, ensuring they meet business and AI/ML requirements.
  • Build, maintain, and optimize data pipelines to support machine learning workflows, from ingestion to transformation and storage.
  • Develop and maintain scalable and cost-effective data infrastructure using cloud services like AWS S3, Redshift, RDS, and DynamoDB.
  • Design and implement storage solutions for both structured and unstructured data, optimizing for performance and scalability.
  • Partner with cross-functional teams to develop and execute data strategies that align with organizational objectives.
  • Ensure data integrity, security, and compliance with privacy regulations across all engineering processes.
  • Build automated data workflows to streamline ingestion, transformation, and retrieval processes.
  • Experiment with and refine data pipeline and storage architectures to ensure high performance and reliability.
  • Stay abreast of industry trends in data engineering, database technologies, and cloud infrastructure, integrating new tools and practices where appropriate.

Required Qualifications

  • Bachelor’s degree (or equivalent) in Computer Science, Data Engineering, Database Management, or a related field.
  • Proven experience in a senior data engineering role with a track record of architecting and delivering complex data projects.
  • Strong understanding of database architecture design, data modeling, and query optimization.
  • Familiarity in data processing frameworks such as Apache Spark, Hadoop, or similar.
  • Proficiency in Python and SQL, with experience in building and optimizing data workflows.
  • In-depth knowledge of relational databases (e.g., PostgreSQL, MySQL) and familiarity with NoSQL solutions.
  • Hands-on experience with AWS services, including S3, Redshift, RDS, Lambda, and Glue.
  • Excellent analytical and organizational skills, with a detail-oriented approach to complex challenges.
  • Strong communication skills and the ability to lead discussions across multidisciplinary teams.

Preferred Qualifications

  • Master’s degree (or equivalent) in Data Engineering, Computer Science, Database Management, or a related field.
  • AWS certification (e.g., AWS Certified Data Engineer - Associate or Solutions Architect).
  • Extensive experience with large-scale data warehousing solutions like AWS Redshift, Google BigQuery, or Snowflake.
  • Familiarity with real-time data processing tools (e.g., Kafka, Flink).
  • Experience with monitoring and visualization tools (e.g., Grafana, Tableau).
  • Subject to and expected to comply with all applicable Patra Corp policies and procedures

Equal Employment Opportunity

Patra Corporation is an equal opportunity employer committed to celebrating diversity and creating a safe and inclusive environment for all employees.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Insurance
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Organizational Skills
  • Communication
  • Analytical Skills
  • Leadership

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