Fam (FamPay): Data Engineer – SDE 1

Job Description:

Fam (formerly FamPay) is hiring a Data Engineer – SDE 1 to join its fast-growing fintech data team in Bengaluru. This role offers a unique opportunity to work on next-generation data platforms that power real-time financial experiences for millions of young users across India. As a Data Engineer, you will play a key role in building scalable, high-performance data systems that enable real-time analytics, decision-making, and product innovation. The position is ideal for engineers passionate about distributed systems, big data technologies, and cloud-native architectures in a high-growth startup environment.

In this role, you will design and implement modern data lakehouse architectures, manage high-throughput data ingestion pipelines, and develop unified batch and streaming processing systems. You will work with cutting-edge technologies such as PySpark, Flink, Kafka, and AWS services to ensure low-latency data availability and high scalability. The role also involves optimizing query engines, designing data models for analytics, and collaborating closely with product teams to deliver actionable insights that drive business growth.

Fam offers a dynamic, AI-driven engineering culture where innovation, speed, and ownership are highly valued. As a Data Engineer, you will gain exposure to real-time data systems, modern DevOps practices, and AI-assisted development workflows. You will work alongside talented engineers and product leaders, contributing to a fintech platform that is redefining how the next generation interacts with money, identity, and digital experiences.

Roles & Responsibilities:

• Build and maintain scalable data ingestion pipelines using tools like Debezium and PeerDB for real-time change data capture (CDC).
• Design and optimize data lakehouse architectures using formats like Iceberg, Delta, and Hudi for performance and storage efficiency.
• Develop ETL/ELT pipelines using PySpark and Flink to handle both batch and streaming workloads efficiently.
• Manage and optimize data infrastructure on AWS services such as S3, EMR, EKS, and MSK for high availability and scalability.
• Tune query engines like Trino or Clickhouse to support real-time dashboards and analytics platforms.
• Implement workflow orchestration using tools like Airflow or Temporal for complex data pipelines.
• Collaborate with product and business teams to design data models and deliver actionable insights for decision-making.
• Apply Infrastructure-as-Code practices using tools like Terraform to automate deployments and system management.
• Optimize performance, latency, and reliability of data systems through continuous monitoring and improvements.
• Leverage AI tools to enhance development efficiency, automate workflows, and improve data engineering processes.

Requirements & Eligibility:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 1–3 years of experience in data engineering, particularly in distributed systems and cloud-based environments.
• Strong proficiency in Python, PySpark, and SQL for building scalable data pipelines and analytics solutions.
• Hands-on experience with AWS services such as S3, EKS, MSK, and cloud-native infrastructure.
• Familiarity with data lakehouse technologies such as Delta Lake, Apache Iceberg, or Apache Hudi.
• Experience with streaming and batch processing frameworks like Kafka, Flink, or Spark.
• Knowledge of orchestration tools such as Airflow or Temporal for managing data workflows.
• Understanding of data modeling concepts including fact tables, dimension tables, and OLAP design patterns.
• Experience with Infrastructure-as-Code tools and DevOps practices for automation and deployment.
• Strong problem-solving skills, system design understanding, and ability to work in a fast-paced startup environment.
• Interest in AI-driven development tools and modern engineering practices is highly desirable.

Expected Salary:

The expected salary for a Data Engineer – SDE 1 at Fam in India typically ranges between ₹12 LPA to ₹25 LPA, depending on experience, technical expertise, and familiarity with big data technologies. Candidates with strong experience in PySpark, AWS, and real-time data processing may receive higher compensation. Fam also offers additional perks such as bonuses, health benefits, and a high-growth startup environment.

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