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Big Data with Elastic Search and Graph DB

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Hi,

Please find the JD and let me know your interest.

Position: Big Data with Elastic Search and Graph DB

Location: Phoenix, AZ (Onsite)

Duration: Long Term

Exp: 11+ Year

Visa: H1B

Must to Have: Elastic Search and Graph DB

Good to Have:

  • Programming Languages: Strong proficiency in Java, Scala, Python, or SQL for data processing.
  • Big Data Technologies: Experience with Hadoop, Spark, Hive, Kafka, Flink, or other big data frameworks.
  • Data Warehousing: Knowledge of ETL processes, data pipelines, and data lakes.
  • Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform.
  • Database Systems: Strong knowledge of NoSQL (e.g., HBase, Cassandra, MongoDB) and SQL (e.g., PostgreSQL, MySQL).
  • Data Modeling & Optimization: Understanding of data modeling, performance tuning, and query optimization techniques for large datasets.
  • Version Control Systems: Experience with Git or similar version control tools.
  • Experience working in Agile/Scrum development environments.

Nice to Have:

  • Machine Learning: Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch) and their integration with big data technologies.
  • Data Visualization: Experience with data visualization tools like Tableau, Power BI, or custom dashboards.
  • Data Streaming: Experience with real-time data streaming technologies such as Apache Kafka or Apache Flink.
  • DevOps/CI-CD: Familiarity with CI/CD pipelines, Docker, Kubernetes, and automation tools for continuous delivery and deployment.
  • Certifications in AWS, Google Cloud, Cloudera, or other big data/cloud technologies.
  • Experience with Apache Nifi, Airflow, Presto, or other workflow management and orchestration tools.

PP Number and LinkedIn are mandatory

Kindly reach out to ( / )

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

Hi,

Please find the JD and let me know your interest.

Position: Big Data with Elastic Search and Graph DB

Location: Phoenix, AZ (Onsite)

Duration: Long Term

Exp: 11+ Year

Visa: H1B

Must to Have: Elastic Search and Graph DB

Good to Have:

  • Programming Languages: Strong proficiency in Java, Scala, Python, or SQL for data processing.
  • Big Data Technologies: Experience with Hadoop, Spark, Hive, Kafka, Flink, or other big data frameworks.
  • Data Warehousing: Knowledge of ETL processes, data pipelines, and data lakes.
  • Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform.
  • Database Systems: Strong knowledge of NoSQL (e.g., HBase, Cassandra, MongoDB) and SQL (e.g., PostgreSQL, MySQL).
  • Data Modeling & Optimization: Understanding of data modeling, performance tuning, and query optimization techniques for large datasets.
  • Version Control Systems: Experience with Git or similar version control tools.
  • Experience working in Agile/Scrum development environments.

Nice to Have:

  • Machine Learning: Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch) and their integration with big data technologies.
  • Data Visualization: Experience with data visualization tools like Tableau, Power BI, or custom dashboards.
  • Data Streaming: Experience with real-time data streaming technologies such as Apache Kafka or Apache Flink.
  • DevOps/CI-CD: Familiarity with CI/CD pipelines, Docker, Kubernetes, and automation tools for continuous delivery and deployment.
  • Certifications in AWS, Google Cloud, Cloudera, or other big data/cloud technologies.
  • Experience with Apache Nifi, Airflow, Presto, or other workflow management and orchestration tools.

PP Number and LinkedIn are mandatory

Kindly reach out to ( / )

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