Role overview

Qualifications

Bachelor's degree or higher in Computer Science, Engineering, or a related field.
5 plus years of experience in data engineering.
Proficient in SQL and Python.
Experience with data workflow development and management tools (dbt, Airflow).

Responsibilities

Design, build and maintain core data infrastructure pieces.
Enhance the data stack, lineage monitoring and alerting to prevent incidents.
Implement best practices for data management, storage and security.
Own the core company data pipeline, responsible for converting business needs.

Key facts

Remote from: India
Full time
Senior (5-10 years)
Data Engineer
English

Hard skills

Python (Programming Language) SQL (Programming Language) Amazon Redshift Apache Airflow Data Engineering Workflow Technology Cloud Computing Data Build Tool Data Governance Business Intelligence Information Privacy

Other skills

Analytical Skills
Problem Solving
Communication
Collaboration

About the company

Veracity Software Inc

The definition of Veracity is accuracy and habitual truthfulness. This truly defines our brand in simplistic terms. At Veracity, we believe in doing everything in the ‘Right Way’, which means you have to challenge your own innovations and solutions all the time. Our strength lies in our employees, and with the right blend of business and technical expertise, we set the bar high for Veracity. From inception, Veracity focused on building cloud based SaaS solutions while using the latest and most advanced technology stack. We have delivered cloud based customized solutions and services to various clients across both North America and India. We have a global headquarter in Woodbridge, NJ while our offshore office is in Pune, India. We believe in bringing Global talent together, which helps us in delivering cost effective, yet highly scalable and efficient solutions. With the vision of trying to be one of the trusted IT partners as well as one of the most respected solution providers with an onsite/offshore model, Veracity is equipped with the right set of highly skilled individuals who have expertise in delivering the most effective business services and solutions for our clients. Veracity’s mission is to become the Trusted IT Partner for various businesses across globe.

Company details

Company size51 - 200

Links

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Job description

Data Engineer
Position: FTE, Remote, India
Availability-Immediate-1 week

Overlap: 4 hours with PST(Pacific Standard Time) or E
Candidate proficiency level: Senior(8+) Python and SQL proficiency along with use of Amazon Redshift for Data Warehousing , Airflow for orchestrating Data pipelines and end to end Data pipeline management.

Responsibilities:

Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
Participate in code reviews to ensure code quality and share knowledge.
Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
Mentor junior members of the team, providing guidance and support in their professional development.
Collaborate with data scientists, analysts and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration

A little more about you:

Bachelor's degree or higher in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
Proficient in SQL and Python, with the ability to translate complexity into efficient code.
Experience with data workflow development and management tools (dbt, Airflow).
Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Experience with data tooling, data governance, business intelligence and data privacy is a plus.