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:

· Robust 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

Skills:- Python, ETL, Spark, Amazon Web Services (AWS), ELT, PySpark and Apache Kafka

📌 Data Engineer (India)
🏢 PhotonMatters
📍 India