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Infrastructure Data Engineer (Remote) – 4197

72% Flex

Remote:

Full Remote

Contract:

Full time

Salary:

150 - 190K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor's degree in CS or related field, 5+ years of professional experience, Experience in ETL orchestration and workflow management tools, Expert knowledge of Python/Java and SQL.

Key responsabilities:

Design and implement data infrastructure and pipelines
Create ETL frameworks for code quality
Ensure accuracy and consistency of data processing
Communicate ideas to various stakeholders

HIRECLOUT

51 - 200 Employees

See more HIRECLOUT offers

Job description

Your missions

HireClout

Our client is a leader in the B2B software space, helping businesses and individuals increase their productivity and workflow, using a variety of software products. Join a team where you can make an impact and revolutionize what productivity means in the modern world!

What You Will Be Doing

Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
Create and implement ETL frameworks to improve code quality and reliability
Create and support common design patterns to increase code maintainability
Ensure accuracy and consistency of data processing, results, and reporting
Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
Communicate ideas clearly to various sponsors, business analysts, and technical resources

What You Will Need

S. in Computer Science, Software Engineering, or relevant field
5+ years of relevant professional experience
3+ years of experience working in data engineering, business intelligence, or a similar role
2+ years of experience in ETL orchestration and workflow management tools like Airflow, flink, etc. using AWS/GCP (i.e., Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M)
1+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink
Expert knowledge of at least one programming language such as Python/Java, Python preferred
Expert knowledge of SQL Familiarity with DevOps SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar
Experience with cloud service providers: Microsoft Azure, Amazon AWS
Expertise with containerization orchestration engines (Kubernetes)

Why Us

Benefits And Perks

Competitive Salary : $150,000 – $190,000 per Year
Full Health, Vision, and Dental Coverage

Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

This position does not offer sponsorship.

REF: JOB-4333

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Job type: Permanent
Location:
Date posted: Posted 1 month ago
Salary:$150000 - $190000 per Year

Required profile

Experience

Level of experience: Senior (5-10 years)

Spoken language(s):

English

Check out the description to know which languages are mandatory.

Hard Skills

Azure Data Warehouse ETL Development Data Pipelines SQL Airflow Spark Python Amazon Redshift Kubernetes

Soft Skills

Strong Communication
Team Collaboration

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