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Lead Data Engineer - FinBox

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Onsite

Lead Data Engineer - FinBox

Finbox

Lead Data Engineer - FinBox

Skills

SQL QueriesData EngineeringPythonKafkaSnowflakeAmazon RedshiftAWSdbtApache AirflowComplianceTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


Job Summary

We are looking for a Lead Data Engineer with 7-10 years of experience to design and scale our data platform. You will own data architecture across ingestion, streaming, storage, processing, analytics, security, and reliability in a high-growth fintech environment.

Responsibilities

  • Design and scale end-to-end data platforms supporting batch and real-time workloads.

  • Build scalable ETL/ELT and CDC pipelines using Kafka, Debezium, Spark/Flink, and Airflow.

  • Architect data lakes/lakehouses using S3, Parquet, Iceberg/Delta Lake.

  • Design and optimise ClickHouse/Redshift/BigQuery architectures, including schema design, aggregation, sharding, and replication.

  • Build multi-tenant data architectures with strong isolation, security, and compliance.

  • Drive data observability, lineage, quality, and disaster recovery across critical pipelines.

  • Define infrastructure using Terraform and drive compute/storage and cost optimisation.

  • Partner with platform and security teams on AWS, VPC, IAM, encryption, and data security .

  • Mentor engineers and establish data architecture standards and best practices .

    Requirements

  • 7-10 years of strong hands-on Data Engineering experience with architectural ownership.

  • Strong expertise in distributed systems - Spark, Flink, and Kafka.

  • Hands-on experience with AWS data services - S3, Glue, RDS, MSK, Redshift, DMS, and Athena.

  • Strong experience with ClickHouse, BigQuery, Redshift, or Snowflake .

  • Expertise in data modelling - Star Schema, Data Vault 2.0, and OBT.

  • Strong experience with streaming, CDC, dbt, Python, SQL, and Airflow .

  • Hands-on experience with Terraform/CloudFormation .

  • Strong understanding of IAM, encryption, VPC, multi-tenancy, and data security .

  • Experience building data platforms from the ground up and at significant scale .

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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