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Data engineer

Salary undisclosed

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Expertise You'll Bring

- Proficiency in languages like Java, Python, Scala.
-Experience with relational and NoSQL databases.
-Familiarity with data analysis libraries like pandas, NumPy, and Spark.
-Understanding of machine learning algorithms and their applications.
-Knowledge of cloud platforms like AWS, Azure
-Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.

What You'll Do

Design and implement data pipelines to collect, cleanse, and transform data from various sources (internal and external) into a unified format for analysis within the Palantir platform.
Advanced Analytics, Utilize machine learning algorithms, statistical analysis, and other advanced techniques to identify patterns and generate actionable insights from large datasets.
User Interface Development, Build user-friendly dashboards and visualizations to present complex data insights to non-technical users.
Security and Compliance, Ensure data privacy and security by implementing robust access controls and adhering to industry regulations.
Communicating with stakeholders to understand business requirements.
Designing and writing SQL queries. Experienced in RDBMS such as MS SQL Server, Oracle, AWS Databricks etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Expertise You'll Bring

- Proficiency in languages like Java, Python, Scala.
-Experience with relational and NoSQL databases.
-Familiarity with data analysis libraries like pandas, NumPy, and Spark.
-Understanding of machine learning algorithms and their applications.
-Knowledge of cloud platforms like AWS, Azure
-Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.

What You'll Do

Design and implement data pipelines to collect, cleanse, and transform data from various sources (internal and external) into a unified format for analysis within the Palantir platform.
Advanced Analytics, Utilize machine learning algorithms, statistical analysis, and other advanced techniques to identify patterns and generate actionable insights from large datasets.
User Interface Development, Build user-friendly dashboards and visualizations to present complex data insights to non-technical users.
Security and Compliance, Ensure data privacy and security by implementing robust access controls and adhering to industry regulations.
Communicating with stakeholders to understand business requirements.
Designing and writing SQL queries. Experienced in RDBMS such as MS SQL Server, Oracle, AWS Databricks etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job