Lead Data Engineer
FinBox (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and scale end-to-end data platforms supporting batch and real-time workloads in a high-growth fintech environment.
- Own data architecture across ingestion, streaming, storage, processing, analytics, security, and reliability.
- Mentor engineers and establish data architecture standards while driving infrastructure and cost optimization on AWS.
Minimum Requirements
- 7–10 years of strong hands-on Data Engineering experience with architectural ownership.
- Expertise in distributed systems: Spark, Flink, Kafka.
- Hands-on experience with AWS data services including S3, Glue, RDS, MSK, Redshift, DMS, and Athena.
- Experience with ClickHouse, BigQuery, Redshift, or Snowflake; and Terraform/CloudFormation for infrastructure as code.
Ideal Candidate Profile
- Proven ability to build data platforms from ground up at significant scale in fintech or similar domains.
- Strong skills in data modeling (Star Schema, Data Vault 2.0, OBT) coupled with expertise in streaming, CDC, dbt, Python, SQL, and Airflow.
- Experienced in designing multi-tenant architectures emphasizing security, IAM, encryption, VPC, and compliance.