Sr. Data Engineer

Sr. Data Engineer - VORKIS knows what employer wants | Career Page

Sr. Data Engineer

Los Angeles, Philippines

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Job Openings Sr. Data Engineer

About the job Sr. Data Engineer

Salary

$80 - N/A per hour

Location

USA, Los Angeles

Employment option

Remote

Job type

Full time

Job Summary

Company provides cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets.

Skills

Must Have

Hard skills

beginner in

Testing, Machine Learning, Azure, BI, Agile

competent in

Snowflake

proficient in

Service Level Agreement SLA, ClickHouse, Data Engineering, BigQuery, Prometheus, SQL, JAVA, Redis, Data Pipelines, Kafka, Apache, Grafana

expert in

ETL, Databases

Soft skills

competent in

Communication Skills

Nice-to-have

Hard skills

beginner in

Data Warehousing, Information Security

competent in

Big Data, Spark, AWS, Pipeline

proficient in

Monitoring, Python

Job Description

Additional Requirements

We’re looking for a strong Senior Software Engineer with Data Engineering experience. Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines on cloud environments.

As a young and ambitious company in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, have a self-starter attitude, and be willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture.

Responsibilities

Responsibilities

• Design and develop the data's team micro services - Java services running on K8S.
• Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more.
• Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources.
• Enrich financial data through third-party data integrations.
• Develop and maintain our data pipeline written mostly in Java and running on K8S in a micro-service architecture.
• Plan and communicate integrations with other teams that consume the data and use it for insights creation.
• Ongoing improvement of the way data is stored and served. Improve queries and data formats to make sure the data is optimized for consumption by a variety of clients.

About Company

Company Overview

Massachusetts Eye and Ear is a specialty hospital dedicated to excellence in the care of disorders that affect the eye, ear, nose, throat, and adjacent regions of the head and neck. Mass Eye and Ear provides primary care and serves as a referral center for outpatient and inpatient medical and surgical care. In conjunction with Harvard Medical School, Mass Eye and Ear is committed to the education of future health care professionals, as well as the education of the public concerning the prevention, diagnosis, and treatment of the diseases in its specialties and concerning the rehabilitation of patients handicapped by these diseases. In order to provide the highest quality of contemporary care and even better care in the future, Mass Eye and Ear conducts laboratory and clinical research in its areas of specialty. Mass Eye and Ear recognizes its obligation to serve as a source of excellence in patient care, teaching, and research in Massachusetts, the United States, and the world. Interested in joining the Mass Eye and Ear team? Visit https://masseyeandear.org/careers.

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