Senior Data Engineer

This role is for a Senior Data Engineer with 10+ years in data solutions and 6+ years on Snowflake. Requires strong SQL, Python, and Spark skills. Hybrid position in Bridgewater, NJ, with a focus on pharma experience. Contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 16, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Bridgewater, NJ
🧠 - Skills detailed
#Scripting #Airflow #Data Lineage #Shell Scripting #Data Ingestion #Automated Testing #Snowflake #Scala #Quality Assurance #Spark (Apache Spark) #Informatica #Data Warehouse #Metadata #Data Management #Python #Jira #SQL (Structured Query Language) #Java #Data Engineering #GIT #Leadership
Role description
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Role: Sr. Data Engineer (Snowflake, Python & SQL)

Job location – Bridgewater, NJ (Hybrid Onsite).

Note – Look for local candidates with strong technical background and pharma experience.

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
• Demonstrate both technical and team leadership.

Areas of Expertise
• At least 10 years of experience designing and development of data solutions in enterprise environment
• At least 6+ years’ experience on Snowflake Platform
• Strong hands-on SQL and Python development
• Experience with designing and development data warehouses in Snowflake
• A minimum of 5 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