Senior Data Engineer

● Design, develop, and maintain scalable data pipelines for ingestion, processing, and storage

● Build and manage ETL workflows using tools such as Apache Spark, Apache NiFi, or similar technologies

● Integrate data from multiple sources into centralized data warehouses or data lakes

● Collaborate with data scientists, analysts, and engineers to translate business needs into technical solutions

● Ensure data quality, integrity, and reliability through validation and monitoring processes

● Optimize data pipelines for performance, scalability, and efficiency

● Monitor, troubleshoot, and resolve production issues with minimal downtime

● Implement best practices in data governance, security, and compliances

● Contribute to continuous improvement, automation, and system reliability

● Document workflows, systems, and technical specification

● Stay updated with emerging trends and technologies in data engineering

● Build systems to collect and transform complex datasets for production use

● Develop and maintain backend services and data infrastructure

● Implement scalable data schemas and improve data management practices

● Provide insights into product performance and customer behavior

● Act as a subject matter expert in data infrastructure, privacy, and security

● Collaborate with stakeholders to understand and deliver on requirements

● Participate in on-call rotations to support live systems

● Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

● 3+ years of experience in data engineering or backend engineering

● Strong understanding of data structures and algorithms

● Proficiency in Java, Python, or Scala

● Strong SQL skills with the ability to write complex queries

● Experience with workflow orchestration tools such as Airflow

● Hands-on experience with big data technologies like Apache Spark, Kafka, or Flink

● Experience with databases such as Cassandra, MongoDB, Oracle, or PostgreSQL

● Familiarity with cloud platforms (AWS or GCP)

● Experience with containerization tools like Docker and Kubernetes

● Experience building scalable microservices using REST, Spring Boot, or gRPC

● Strong problem-solving, communication, and collaboration skills

● Experience with large-scale distributed systems

● Knowledge of data security and compliance standards

● Experience in building and scaling data platforms

● Passion for experimentation, rapid prototyping, and innovation

● Because you get an opportunity to make a difference, and have a great time doing that . 

● You are challenged and encouraged here to do stuff that is meaningful for you and for those 

we serve.  

● You should work with us if you think seriously about what technology can do for people . 

● We are successful, and our successes are rooted in our people's collective energy and 

unwavering focus on the customer, and that's how it will always be.