Data Engineer (Python + SQL)VDart Inc • New York City, New York, USA
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Data Engineer (Python + SQL)
VDart Inc • New York City, New York, USA
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]
Job Title: Data Engineer (Python SQL)
Job Location: New York NY (3 days onsite minimum)
Job type: contract
Skillset and Experience
Experience with Relational database systems like Sybase SQL Server Postgres etc.
Experience with object-oriented or function scripting languages: Python (NumPy Pandas) Java C or Scala etc.
Working knowledge of visualization tools like Tableau QlikView Power BI etc.
Experience with Cloud technologies like Snowflake Microsoft Azure Databricks etc. is a plus.
Experience with data-science tools / workbench like Dataiku Jupiter Rapid Miner etc. is a plus.
Experience with Big Data tools / technologies: Hadoop Pig Hive Hue PySpark etc. is a plus.
Experience with ETL tools like Azure Data Factory Informatica etc. is a plus.
Experience with machine learning / artificial intelligence techniques like regression classification clustering time series text mining large language model etc. is a plus.
Job Title: Azure Data Engineer
Job Location : Los Angeles CA (Hybrid)
Job Type: Contract
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL Python Datawarehouse Cloud ETL tools to join our data team. The ideal candidate will design implement and optimize large-scale data pipeline ensuring scalability reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.
Technical Skills:
Strong expertise in Databricks (Delta Lake Unity Catalog Lakehouse Architecture Table Triggers Delta Live Pipelines Databricks Runtime etc.)
Proficiency in Azure Cloud Services.
Solid Understanding of Spark and PySpark for big data processing.
Experience in relational databases.
Knowledge on Databricks Asset Bundles and GitLab.
Preferred Experience:
Familiarity with Databricks Runtimes and advanced configurations.
Knowledge of streaming frameworks like Spark Streaming.
Experience in developing real-time data solutions.
Certifications:
Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
Key Skills
Accomodation,Database,Information Technology Sales,Insurance Paralegal
Employment Type : Full Time
Experience: years
Vacancy: 1
Job Location: New York NY (3 days onsite minimum)
Job type: contract
Skillset and Experience
Experience with Relational database systems like Sybase SQL Server Postgres etc.
Experience with object-oriented or function scripting languages: Python (NumPy Pandas) Java C or Scala etc.
Working knowledge of visualization tools like Tableau QlikView Power BI etc.
Experience with Cloud technologies like Snowflake Microsoft Azure Databricks etc. is a plus.
Experience with data-science tools / workbench like Dataiku Jupiter Rapid Miner etc. is a plus.
Experience with Big Data tools / technologies: Hadoop Pig Hive Hue PySpark etc. is a plus.
Experience with ETL tools like Azure Data Factory Informatica etc. is a plus.
Experience with machine learning / artificial intelligence techniques like regression classification clustering time series text mining large language model etc. is a plus.
Job Title: Azure Data Engineer
Job Location : Los Angeles CA (Hybrid)
Job Type: Contract
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL Python Datawarehouse Cloud ETL tools to join our data team. The ideal candidate will design implement and optimize large-scale data pipeline ensuring scalability reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.
Technical Skills:
Strong expertise in Databricks (Delta Lake Unity Catalog Lakehouse Architecture Table Triggers Delta Live Pipelines Databricks Runtime etc.)
Proficiency in Azure Cloud Services.
Solid Understanding of Spark and PySpark for big data processing.
Experience in relational databases.
Knowledge on Databricks Asset Bundles and GitLab.
Preferred Experience:
Familiarity with Databricks Runtimes and advanced configurations.
Knowledge of streaming frameworks like Spark Streaming.
Experience in developing real-time data solutions.
Certifications:
Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
Key Skills
Accomodation,Database,Information Technology Sales,Insurance Paralegal
Employment Type : Full Time
Experience: years
Vacancy: 1
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