Key Facts

Remote From:

Latin America

Full time

English

Hard Skills

Other Skills

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Reliability
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Detail Oriented
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Teamwork
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Communication
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Problem Solving

Roles & Responsibilities

MS or BS in CS, Engineering, Math, Statistics, or a related field or equivalent practical experience in data engineering.
Proven track record developing and deploying data pipelines/software in a data engineering environment.
5+ years of data engineering experience using Python (or other data engineering languages such as Scala, Go, R, Java).
3+ years of experience with Snowflake and Snowflake-based data warehousing, including related tooling (Airflow, DBT, Spark, Pandas).

Requirements:

Data pipeline design, implementation, optimization and productionization in Snowflake.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Create and maintain datasets that support the needs and products.
Implement processes to improve quality, consistency, and reliability across pipelines (monitoring, retry, failure detection).

Parser

About Parser

At Parser we help organisations leverage on digital to advance their business strategy. For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products. Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents. Our services: - Digital Strategy & Transformation We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation. - Digital Portfolio Management Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process. - Product & Service Development We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.

Company type: Scaleup

Founded: 2018

Company size: 201 - 500

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Job description

Senior Data Engineer

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people. If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

As a Snowflake Data Engineer at Parser, you will be part of our team and work on challenging engineering projects. You will help improve data processes and tooling, automating workloads and pipelines wherever possible. Moreover, we expect that you provide our client with your professional expertise, not only hands-on but also for technically improving the “under development” data framework.

Key Responsibilities

Data Pipeline Design, Implementation, Optimization and productionization in snowflake
Assemble large, complex data sets that meet functional / non-functional business requirements
Create and maintain datasets that support the needs and products
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability,
Implementing processes oriented to improve quality, consistency, and reliability through the various pipelines (monitoring, retry, failure detection)

Technology Stack:

Snowflake
SQL
DBT
Postgres / MySQL
Oracle
Airflow
Git
AWS + Terraform

Required Skills and Experience

MS or BS in CS, Engineering, Math, Statistics, or a related field or equivalent practical experience in data engineering.
Proven track record within a Data Engineer or engineering environment where you have developed and deployed software / pipeline
5+ years of experience working in data engineering using Python or any other language programming known for data engineering (Scala, Go, R, Java, etc).
3+ years of experience working in data engineering using Snowflake.
Experience using the data warehousing tool: Snowflake
Understanding about several tools for data transformation and pipelining, like Airflow, DBT, Spark, Pandas
Cloud experience: Proficient in AWS, with expertise in data and analytics services such as Redshift, Kinesis, Glue, Step Functions, Sagemaker, RDS, etc
Excellent English communication skills.
Requirement to be located in Colombia or Argentina (Cordoba or Buenos Aires)

Some of the benefits you’ll enjoy working with us

The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.
The opportunity to be part of an amazing, multicultural community of tech experts.
The opportunity to grow and develop your career with the company.
A flexible and remote working environment.

Come and join our #ParserCommunity.

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