Snowflake ETL AWS Engineer - InPerson Interview Must
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer with 8-10 years of experience, focusing on AWS, Python, SQL, and Snowflake. Contract length is unspecified, with an on-site location in Providence, NJ. Key skills include orchestration tools, Spark, and Scala.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New Providence, NJ
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Lineage #Shell Scripting #SQL (Structured Query Language) #Automated Testing #Python #Jira #Informatica #Snowflake #GIT #Data Warehouse #Data Ingestion #Airflow #Java #Data Management #Data Engineering #Metadata #AWS (Amazon Web Services) #Scala #Quality Assurance #Spark (Apache Spark) #Scripting
Role description
Data Engineer
Providence NJ (F2F interview and onsite)-Need local candidate
Skill Top Focus—AWS,Python, SQL, Snowflake and exp with Orchestration Tools e.g. Airflow, Informatica, Automic and three years experience in developing production-ready data ingestion and processing pipelines using Spark, Scala
Role: Sr. Data Engineer
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
Data Engineer
Providence NJ (F2F interview and onsite)-Need local candidate
Skill Top Focus—AWS,Python, SQL, Snowflake and exp with Orchestration Tools e.g. Airflow, Informatica, Automic and three years experience in developing production-ready data ingestion and processing pipelines using Spark, Scala
Role: Sr. Data Engineer
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
