# Senior Data Engineer

**Company**: EarnIn
**Location**: Bengaluru, India
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7958864?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7997a3b4-91f

## Description

We are looking for an experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will work cross-functionally with various teams and contribute to helping build an enterprise-grade Data Platform. This role includes an increased focus on Data Infrastructure work, and the position requires both traditional Data Engineering experience as well as extensive work in Data infrastructure.

Lead the enhancement of internal processes, focusing on scaling infrastructure, streamlining data delivery, and implementing automation to replace manual operations.

Design and implement advanced infrastructure for efficient data extraction, transformation, and loading (ETL) using cutting-edge AWS and SQL technologies.

Develop sophisticated analytical tools that tap into the data pipeline, offering deep insights into crucial business metrics like customer growth and operational efficiency.

Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements.

Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues.

Make a meaningful impact in the lives of our community members.

Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.

Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.

Estimate and manage team project timelines and risks.

Participate in hiring and onboarding for new team members.

Lead cross-team engineering initiatives.

Constantly learning about new technologies and industry standards in data engineering.

We're looking for someone with 4+ years of experience in designing, building, and maintaining Data infrastructure and the ability to lead complex projects and teams. Proficiency in programming languages like Python and Scala, strong knowledge of distributed computing frameworks such as Apache Hadoop, and Apache Spark with cloud platforms such as AWS, Azure, or GCP. Experience in managing large datasets and optimizing database performance. Proficiency in Git and Terraform and experience in deploying continuous integration and continuous deployment (CI/CD) practices. Experience in managing event-driven systems, particularly with Kafka in cloud environments. Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices. Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocol.

## Skills

### Required
- Python
- Scala
- Apache Hadoop
- Apache Spark
- AWS
- Azure
- GCP
- Git
- Terraform
- Kafka
- Data Governance
- Data Security

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/7958864?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)