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Data Engineer

In California / United States

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Data Engineer   

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JOB TITLE:

Data Engineer

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

San Francisco, CA California / United States

JOB DESCRIPTION:

Job Description:
Primary Skills: Advanced SQL, Hadoop, Hive, Python, Redshift
Duration: 06+ Months Contract (Possible Extension)
Contract Type: W2


Job Description:
WHAT YOU'LL DO
  • Collaborate with data product managers, data architects, and data engineers to design, implement and deliver successful data solutions
  • Define technical requirements and implementation details for the underlying data warehouse and data marts
  • Develop and optimize the performant database, data model, integration and ETL in RDBMS and NoSQL environments
  • Maintain detailed documentation of your work and changes to support data quality and governance
  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
WHAT TO BRING
  • Solid experience with data integration toolsets and writing and maintaining ETL jobs
  • Experience working with large data systems
  • Proven experience with at least one major RDBMS (SQL Server, MySQL or Oracle)
  • Expert level experience with SQL/TSQL and ability to create and tune queries
  • Strong scripting skills (Python/JS) helpful and knowledge of a programming language Python/Java
  • Agile and Scrum experience
  • Experience with MapReduce or other Hadoop implementations associated understanding of Hive or Pig to query and process data in Hadoop, a big plus.
  • Strong attention to detail with excellent analytical, problem-solving, and communication skills
  • Bachelor's or Master's Degree in Computer Science, Information Systems or related field


Very strong Advanced SQL experience First round 60 mins Advanced SQL coding
Need to have programming experience & strong scripting skills in Python & dealt with very large datasets
Need to know Spark (Proficient in spark and spark tuning )
AWS cloud environment and hands on experience must ( Redshift knowledge beneficial ) ;
Data is stored in Snowflake and Hadoop ; so knowledge of both will be nice-to have

Position Details

POSTED:

Jun 26, 2021

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16204867566897056

LOCATION:

California / United States

CITY:

San Francisco, CA

Job Origin:

CEIPAL_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Job Description:
Primary Skills: Advanced SQL, Hadoop, Hive, Python, Redshift
Duration: 06+ Months Contract (Possible Extension)
Contract Type: W2


Job Description:
WHAT YOU'LL DO

  • Collaborate with data product managers, data architects, and data engineers to design, implement and deliver successful data solutions
  • Define technical requirements and implementation details for the underlying data warehouse and data marts
  • Develop and optimize the performant database, data model, integration and ETL in RDBMS and NoSQL environments
  • Maintain detailed documentation of your work and changes to support data quality and governance
  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
WHAT TO BRING
  • Solid experience with data integration toolsets and writing and maintaining ETL jobs
  • Experience working with large data systems
  • Proven experience with at least one major RDBMS (SQL Server, MySQL or Oracle)
  • Expert level experience with SQL/TSQL and ability to create and tune queries
  • Strong scripting skills (Python/JS) helpful and knowledge of a programming language Python/Java
  • Agile and Scrum experience
  • Experience with MapReduce or other Hadoop implementations associated understanding of Hive or Pig to query and process data in Hadoop, a big plus.
  • Strong attention to detail with excellent analytical, problem-solving, and communication skills
  • Bachelor's or Master's Degree in Computer Science, Information Systems or related field


Very strong Advanced SQL experience First round 60 mins Advanced SQL coding
Need to have programming experience & strong scripting skills in Python & dealt with very large datasets
Need to know Spark (Proficient in spark and spark tuning )
AWS cloud environment and hands on experience must ( Redshift knowledge beneficial ) ;
Data is stored in Snowflake and Hadoop ; so knowledge of both will be nice-to have


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