Snowflake ETL AWS Engineer - InPerson Interview Must

Keylent Inc; New Providence (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

A software development company is seeking an experienced Data Management Specialist responsible for developing, overseeing, and analyzing data systems. This role requires a minimum of 8-10 years of experience in data solutions, along with expertise in Snowflake, SQL, Python, and orchestration tools like Airflow and Informatica. The ideal candidate should have strong problem-solving skills and a collaborative approach. This is a contract position based in New Jersey with a mid-senior level of seniority.

Qualifications

• 8-10 years of experience designing and development of data solutions in enterprise environments.
• 5+ years’ experience on Snowflake Platform.
• Strong hands-on experience with SQL and Python development.
• Experience with designing and development of data warehouses in Snowflake.
• Minimum three years of experience in developing production-ready data ingestion and processing pipelines using Spark, Scala.
• Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic.
• Good understanding of Metadata and data lineage.
• Hands-on knowledge of SQL Analytical functions.
• Strong knowledge and hands-on experience in Shell scripting, Java scripting.
• Demonstrated experience with software engineering practices including CI/CD, Automated testing, and Performance Engineering.
• Good understanding and exposure to Git, Confluence, and Jira.
• Good problem solving and troubleshooting skills.
• Team player, collaborative approach and excellent communication skills.

Responsibilities

• Develop, oversee, organize, store, and analyze data and data systems.
• Participate in all aspects of the software development lifecycle for Snowflake solutions.
• Work in tandem with the engineering team to identify and implement optimal solutions.
• Ensure platform performance, uptime, and scalability while maintaining high code quality standards.
• Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures.
• Manage deliverables in fast-paced environments.

Skills

AWS

Python

SQL

Snowflake

Orchestration Tools

Spark

Scala

Job description

Overview

Providence NJ (F2F interview and onsite) - Need local candidate

Skill Top Focus—AWS, Python, SQL, Snowflake and experience with Orchestration Tools e.g. Airflow, Informatica, Automic and three years experience in developing production-ready data ingestion and processing pipelines using Spark, Scala

Job Description

• Experienced Data management specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data systems
• Participate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assurance
• Work in tandem with our engineering team to identify and implement the most optimal solutions
• Ensure platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
• Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures
• Able to manage deliverables in fast paced environments

Areas of Expertise

• At least 8-10 years of experience designing and development of data solutions in enterprise environment
• At least 5+ years’ experience on Snowflake Platform
• Strong hands on SQL and Python development
• Experience with designing and development data warehouses in Snowflake
• A minimum of three years experience in developing production-ready data ingestion and processing pipelines using Spark, Scala
• Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic
• Good understanding on Metadata and data lineage
• Hands on knowledge on SQL Analytical functions
• Strong knowledge and hands-on experience in Shell scripting, Java Scripting
• Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineering.
• Good understanding and exposure to Git, Confluence and Jira
• Good problem solving and troubleshooting skills.
• Team player, collaborative approach and excellent communication skills

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Software Development, IT System Custom Software Development, and Technology, Information and Media

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