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Senior Data Engineer

Company: Incedo Inc.
Location: Dayton
Posted on: November 19, 2021

Job Description:

Sr. Data Engineer (Python and Spark, ETL, Hadoop, Big Data, AWS)Location: 100 % Remote Skills.

  • Python, Spark
  • multiple cloud services - Aws Glue, Redshift, Aws RDS, S3, CloudWatch & others.
  • pyspark transformations, performance tuning.
  • Experienced in airflow, cron jobs, exception handling Will be responsible, for design, development, integration, and maintainance of Modern Data Management systems primarily focused on Shared Disk versus Shared Nothing use cases experienced with Snowflake, AWS Redshift like similar MPP Databases. Build and design Moder Digital Data Platforms in accordance with DataOps best practices and architectural guidance, using tools like Markit, Business objects, Informatica, MS SQL, PL/SQL, etc. Enhance/Maintain/support existing applications. Must be hands with Snowlflake - designing Snowflake architecture, virtual warehouse, sizing, and with a very strong ability to communicate with stakeholders.Ability to explain the benfits and differences between traditional datawarehouse versus modern datawarehouses like Snowflake - shared nothing vs shared disk databases.Must Skill:- Hands-on experience with ETL tools, Python and Spark.- Partner with business leadership to identify problems, and opportunities for technology innovation with a focus on DataWarehose implementations.- Help establish a clear, consistent technology vision through collaboration, influence, and enablement.- Research, recommend, design and develop systems and application architecture.- Must be an expert in SQL and one of the ETL tools such as Informatica- Extensive experience in SQL query tuning - Creating robust and extensible data pipelines for production systems - Creating secure, performant, and well-modeled data stores- Must be fluent in any one of the scripting languages such as Python- Experience working in an onsite client technical consulting environment preferred.- Source code version control management using tools like Git/GitHub- Experiences working within Agile Frameworks, such as Scrum or Kanban- Excellent communication skills to be able to interact directly with non-technical client stakeholders and act in a business-to-technical translation role.Preferred Skills:- Knowledge and use of DataOps practices preferred- Experience using NoSQL databases (e.g., AWS DynamoDB, MongoDB, Neo4j)- Experience with metadata management, data cataloging, data lineage, and taxonomy.
    • - Experience in any popular metadata tools such as Data World, Manta, etc.

Keywords: Incedo Inc., Trenton , Senior Data Engineer, Engineering , Dayton, New Jersey

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