Big Data Engineer
Job ID : 34736
Job Title : Big Data Engineer
Location : Los Angeles, CA
Comapny Name : Dart Point
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $41000 - $55000 per hour
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 09-18-2023
Required Skills : Apache Spark, Data mining, Modeling
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Responsibilities:
- Develop solutions related to Big Data, and Data Sciences from end-to-end.
- Develop and maintain scalable data pipelines that will ingest, transform, and distribute data streams and/or batches within the AWS, Snowflake and Microsoft Platforms.
- Identify, design, and implement process improvements for automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Self-motivated, self-directed with strong problem-solving skills.
- Support and decommission legacy platforms.
- Enable business strategy, lean processes, increased data velocity, and insights.
- Embody a culture of continuous innovation and learning.
- Adhere to programming/development standards and governance framework.
- Collaborate with business, analytical teams, and data scientist to improve efficiency, increase the applicability of predictive models, and help translate ad-hoc analyses into scalable data delivery solutions.
- Consulting on data ingestion, data modeling, security, and capabilities.
- Manage the innovation cycle of conducting analyses, generating insights.
- Assist with the selection and management of consultants and vendors.
- Assist with the recruitment and development of talent.
- Collaborate with DevOps team to integrate innovations and algorithms into a production system.
- Support business decisions with ad hoc analysis as needed.
- Work with the DevOps team to create and manage deployment workflows for all scripts and code using Microsoft Azure.
Key Skills:
- Databases and SQL.
- ETL and data warehousing.
- Talend, IBM DataStage, Pentaho, and Informatica.
- Operating system knowledge for Unix, Linux, Windows, and Solaris.
- Hadoop.
- Apache Spark.
- Data mining and modeling.
Company Details :
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