Hallmark Global Solutions Ltd
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with strong Databricks and PySpark experience, focusing on migrating Ab Initio workflows to scalable PySpark pipelines. Long-term, onsite in Wilmington, DE, with a pay rate of "unknown." Requires ETL/ELT development and Snowflake expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Wilmington, DE
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🧠 - Skills detailed
#Data Processing #UAT (User Acceptance Testing) #Deployment #Data Lake #Data Engineering #Data Pipeline #Cloud #Data Quality #Databricks #Data Governance #Batch #Migration #Data Lineage #.Net #Snowflake #PySpark #"ETL (Extract #Transform #Load)" #Ab Initio #Spark (Apache Spark) #Scala
Role description
🚀 Hiring: Databricks Engineer (PySpark & Data Lake)
📍 Wilmington, DE ( IN Person Interview) | 🏢 5 Days Onsite | ⏳ Long-Term Project
We’re looking for a strong Data Engineer to drive the modernization of legacy ETL systems by migrating Ab Initio workflows into scalable PySpark pipelines on Databricks.
This is a great opportunity to work on large-scale data transformation, building cloud-native architectures while ensuring high performance, data quality, and reliability.
🎯 Key Responsibilities
🔹 Migrate legacy ETL workflows (Ab Initio → PySpark on Databricks)
🔹 Design & develop scalable, modular data pipelines
🔹 Build ETL/ELT pipelines integrating Snowflake & other data sources
🔹 Support batch & near real-time data processing
🔹 Create data lineage & optimize workflows
🔹 Perform testing, validation & UAT support
🔹 Drive deployment, migration & system cutover strategies
💡 What We’re Looking For
✔ Strong experience with Databricks & PySpark
✔ Hands-on in ETL/ELT pipeline development
✔ Experience with Snowflake / Data Lake architectures
✔ Background in legacy ETL migration (Ab Initio preferred)
✔ Strong understanding of data governance, optimization & performance
📩 If you or someone in your network is a fit, feel free to reach out or share your resume at salomon@hgtechinc.net
🚀 Hiring: Databricks Engineer (PySpark & Data Lake)
📍 Wilmington, DE ( IN Person Interview) | 🏢 5 Days Onsite | ⏳ Long-Term Project
We’re looking for a strong Data Engineer to drive the modernization of legacy ETL systems by migrating Ab Initio workflows into scalable PySpark pipelines on Databricks.
This is a great opportunity to work on large-scale data transformation, building cloud-native architectures while ensuring high performance, data quality, and reliability.
🎯 Key Responsibilities
🔹 Migrate legacy ETL workflows (Ab Initio → PySpark on Databricks)
🔹 Design & develop scalable, modular data pipelines
🔹 Build ETL/ELT pipelines integrating Snowflake & other data sources
🔹 Support batch & near real-time data processing
🔹 Create data lineage & optimize workflows
🔹 Perform testing, validation & UAT support
🔹 Drive deployment, migration & system cutover strategies
💡 What We’re Looking For
✔ Strong experience with Databricks & PySpark
✔ Hands-on in ETL/ELT pipeline development
✔ Experience with Snowflake / Data Lake architectures
✔ Background in legacy ETL migration (Ab Initio preferred)
✔ Strong understanding of data governance, optimization & performance
📩 If you or someone in your network is a fit, feel free to reach out or share your resume at salomon@hgtechinc.net
