HHiring Reality
← Fampay

Data Engineer (SDE 2)

Fampay
Location
Bengaluru
Posted
1 month ago
Department
Data
What they actually want (must-haves)
  • 3–5 years of experience in Data Engineering with distributed systems and cloud-native architectures
  • Expert-level proficiency in Python/PySpark and SQL
  • Hands-on experience with AWS (S3, EKS, MSK) and Infrastructure-as-Code
  • Experience with Airflow or Temporal for complex workflow management
  • Proficiency in using AI tools (Claude, Codex, Copilot) for efficient coding
  • Ability to explain trade-offs between different storage formats and processing frameworks
Nice to have
  • Ownership of high-throughput ingestion from RDBMS to Lakehouse using Debezium, PeerDB
  • Designing and optimizing table formats (Iceberg, Delta, Hudi) for performance and storage efficiency
  • Developing robust ETL/ELT frameworks in PySpark and Flink
  • Managing data workloads on AWS (EMR, EKS, MSK, S3) and automating via Gitlab/Github Actions
  • Tuning Trino or Clickhouse for real-time dashboards in Metabase, Superset, and PowerBI
What the job really is

As a Data Engineer II at Fam, you will play a crucial role in developing a high-performance and scalable Data Lake-house, focusing on achieving sub-minute data latency and integrating batch and streaming compute. Your responsibilities will include managing complex CDC flows, optimizing distributed query engines, and leveraging AI tools to enhance the development lifecycle. You will also engage with stakeholders to improve business workflows through data and analytics.

Benefits
  • Relocation assistance
  • Free office meals (lunch & dinner)
  • Generous leave policy including birthday leave, period leave, paternity and maternity support
  • Salary advance and loan policies
  • Quarterly rewards and recognition programs
  • Access to the latest gadgets and tools
Things to weigh
  • No salary listed
  • The role emphasizes an AI-native mindset, which may require continuous learning and adaptation to new tools
  • The tech stack includes a mix of modern and legacy technologies, which could impact the learning curve
Job score3.4/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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