Data Engineer

About Exela

Exela Technologies, Inc. (“Exela”) is a location agnostic, global business process automation ("BPA") leader combining industry-specific and industry-agnostic enterprise software and solutions with decades of experience. Our BPA suite of solutions are deployed in banking, healthcare, insurance and other industries to support mission critical environments. Exela is a leader in workflow automation, attended and unattended cognitive automation, digital mail rooms, print communications, and payment processing with deployments

across the globe. Exela partners with customers to improve user experience and quality through operational efficiency. Exela serves over 3,700 customers across more than 50 countries, through a secure, cloud-enabled global delivery model. We are 22,000 employees strong across the Americas, Europe and Asia. Our customer list includes 60% of the Fortune® 100, along with many of the world’s largest retail chains, banks, law firms, healthcare insurance payers and providers and telecom companies.

Why Exela?

A global, public company (Nasdaq: XELA), the people behind Exela are as important as the company itself. Our

The team's extensive experience across multiple industry verticals gives us a better sense of our clients' needs. That

begins with teams comprised of individuals from diverse backgrounds with different perspectives. Join our global team as we create advancements in business process automation solutions that impact our client’s mission-critical operations across the industries they serve. The diversity of our workforce and their inspiring ideas resonate throughout all that we do – don’t just read about digital innovation, be part of the revolution! We are seeking a highly skilled and experienced Senior Lead Engineer to join our dynamic team. In this role, you will play a crucial part in designing, implementing, and supporting F5 Networks' solutions for our internal / external clients.

Designation:

Experience:

Desired Skills and Experience:

1. Technical Expertise

• Proficiency in Python and Java for data engineering tasks.
• Hands-on experience Apache Airflow
• Hands-on experience with data processing libraries and frameworks (e.g., Pandas, Apache Spark).
• Strong understanding of SQL and database systems (PostgreSQL, MySQL, MongoDB, etc.).
• Experience with cloud data platforms like AWS (S3, Redshift), GCP (BigQuery), or Azure Data Lake.

1. Problem-Solving and Analytical Thinking

• Ability to troubleshoot complex data issues and provide effective solutions.
• Strong analytical skills to interpret data and derive actionable insights.

1. Additional Skills

• Knowledge of containerization tools like Docker and orchestration tools like Kubernetes is a plus.
• Familiarity with CI/CD pipelines and version control systems like Git.
• Understanding of data governance, security, and compliance requirements.