Senior Data Engineer

February 17

Incode Technologies

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Powering a world of trust

Mobile Security • KYC • AML • B2B • Identity Management

51 - 200

💰 $220M Series B on 2021-12

Description

REIMAGINE TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! The Opportunity We are looking for a Senior Data Engineer who will be at the forefront of architecting, building, and optimizing our current and future data platforms that powers our ambitious goals. Collaborating closely with cross-functional teams, including data analysts, software engineers, architects, product managers, and business stakeholders, you will design and implement robust and scalable data solutions that empower us to derive actionable insights from both structured and unstructured data sources. This role presents a unique opportunity to drive innovation by architecting data solutions that underpin our clients' success and the growth of the company.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Mathematics, Applied Statistics, or a related field. • 5 years+ of hands-on experience in modern data engineering, with a proven track record of architecting and implementing complex data solutions. • Strong proficiency in relevant programming and query languages (e.g., Python, SQL, R, JavaScript) • Strong understanding of data modeling, database design, data lake and data warehousing, and performance optimization techniques. • Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and associated data & analytics services (e.g., Redshift, Snowflake, Synapse, Databricks, or BigQuery) • Expertise in real-time streaming and batch processing, and the ability to choose the right tools for specific use cases (e.g., Spark, Kafka, Storm, Kinesis, Hive, Pig) • Familiarity with ETL and ELT concepts and their application in data pipelines, and tools like dbt and Airflow. • Proven experience architecting data solutions to support both Machine Learning (ML) initiatives and Analytics/BI requirements. • Previous experience with data privacy and compliance, including handling personal data (PII) and adhering to relevant regulations (e.g., GDPR and CCPA). • Excellent problem-solving skills and the ability to excel in a fast-paced, collaborative environment. • Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Involvement in open-source data engineering projects or active participation in data-related communities (Nice-to-have, but not required) • Understanding of advanced analytics and Machine Learning techniques (Nice-to-have, but not required) • Recent experience with data processing into hosted Large Language Models (LLMs) (Nice-to-have, but not required)

Benefits

• Meaningful Equity • Flexible Working Hours & Workplace • Open Vacation Policy • Wellness Program • International Travel Opportunities • Additional benefit package according to location (401k, medical insurance, etc.)