Job Title: Data Engineer
Experience: 4–14 Years
Work Mode: Remote
Employment Type: Full-Time
Position Overview:
We are looking for highly experienced Senior Data Engineers to design, architect, and lead scalable, cloud-based data platforms on AWS. The role involves building enterprise-grade data pipelines, modernizing legacy systems, and developing high-performance scoring engines and analytics solutions and collaborate closely with architecture, analytics, risk, and business teams to deliver secure, reliable, and scalable data solutions.
Key Responsibilities:
· Design and build scalable data pipelines for financial and customer data
· Build and optimize scoring engines (credit, risk, fraud, customer scoring)
· Design, develop, and optimize complex ETL/ELT pipelines (batch & real-time)
· Ensure data quality, governance, reliability, and compliance standards
· Optimize large-scale data processing using SQL, Spark/PySpark, and cloud technologies
· Lead cloud data architecture, cost optimization, and performance tuning initiatives
· Collaborate with Data Science, Analytics, and Product teams to deliver business-ready datasets
· Mentor junior engineers and establish best practices for data engineering
Key Requirements:
· Strong programming skills in Python and advanced SQL
· Experience building scalable scoring or rule-based decision engines
· Hands-on experience with Big Data technologies (Spark/PySpark/Kafka)
· Strong expertise in designing ETL/ELT pipelines and data modeling
· Experience with cloud platforms (AWS/Azure) and modern data architectures
· Solid understanding of data warehousing, data lakes, and performance tuning
· Knowledge of CI/CD, version control (Git), and production support best practices