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Enable Data Incorporated

Enable Data is a leading provider of advanced application, data and cloud engineering services. We have developed deep expertise across a number of industries and our consultants work with customers to leverage modern solutions to drive increased value across their business ecosystem.

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Jobs at this company:

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🔥 Senior Data Engineer
Posted 2024-11-07

📍 United States

🔍 Data Engineering

  • Bachelor's or Master's degree in computer science, engineering, or a related field.
  • 8+ years of experience as a Data Engineer, with a focus on building cloud-based data solutions.
  • Strong experience with cloud platforms such as Azure or AWS.
  • Proficiency in Apache Spark and Databricks for large-scale data processing and analytics.
  • Experience in designing and implementing data processing pipelines using Spark and Databricks.
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services.
  • Good understanding of data modeling and schema design principles.
  • Experience with data governance and compliance frameworks.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and collaboration skills to work effectively in a cross-functional team.
  • Relevant certifications in cloud platforms, Spark, or Databricks are a plus.

  • Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
  • Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights.
  • Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
  • Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
  • Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
  • Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
  • Provide technical guidance and expertise to junior data engineers and developers.
  • Stay up-to-date with emerging trends and technologies in cloud computing, big data, and data engineering.
  • Contribute to the continuous improvement of data engineering processes, tools, and best practices.

Problem Solving

Posted 2024-11-07
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🔥 Senior Data Engineer
Posted 2024-10-01

📍 India

🔍 Data and cloud engineering services

  • Bachelor's or Master's degree in computer science, engineering, or a related field.
  • 10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions.
  • Strong experience with cloud platforms such as Azure or AWS.
  • Proficiency in Apache Spark and Databricks for large-scale data processing and analytics.
  • Experience in designing and implementing data processing pipelines using Spark and Databricks.
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services.
  • Good understanding of data modeling and schema design principles.
  • Experience with data governance and compliance frameworks.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and collaboration skills to work effectively in a cross-functional team.
  • Relevant certifications in cloud platforms, Spark, or Databricks are a plus.

  • Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
  • Gather and analyze data requirements from business stakeholders and identify opportunities for data-driven insights.
  • Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
  • Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
  • Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
  • Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
  • Provide technical guidance and expertise to junior data engineers and developers.
  • Stay up-to-date with emerging trends and technologies in cloud computing, big data, and data engineering.
  • Contribute to the continuous improvement of data engineering processes, tools, and best practices.

AWSSQLApache AirflowCloud ComputingETLAirflowAzureData engineeringNosqlSparkCollaborationCompliance

Posted 2024-10-01
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