Hi
Hope
you are doing great.
I
have got an urgent requirement from one of our client.
Please
find the below job description and do share me the updated resume along with the
best rate and availability.
Position
: Sr. Data Engineer.
Location
: San Francisco, CA
Length:
3 months with potential to extend
Position
Summary:
• Very Strong engineering skills. Should have an analytical approach and have good programming skills.
• Provide business insights, while leveraging internal tools and systems, databases and industry data
• Minimum of 5+ years’ experience. Experience in retail business will be a plus.
• Excellent written and verbal communication skills for varied audiences on engineering subject matter
• Ability to document requirements, data lineage, subject matter in both business and technical terminology.
• Guide and learn from other team members.
• Demonstrated ability to transform business requirements to code, specific analytical reports and tools
• This role will involve coding, analytical modeling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers other engineering team.
Must Have:
• Strong analytical background
• Self-starter
• Must be able to reach out to others and thrive in a fast-paced environment.
• Strong background in transforming big data into business insights
Technical Requirements:
• Knowledge/experience on Teradata Physical Design and Implementation, Teradata SQL Performance Optimization
• Experience with Teradata Tools and Utilities (FastLoad, MultiLoad, BTEQ, FastExport)
• Advanced SQL (preferably Teradata)
• Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.).
• Strong Hadoop scripting skills to process petabytes of data
• Experience in Unix/Linux shell scripting or similar programming/scripting knowledge
• Experience in ETL/ processes
• Real time data ingestion (Kafka)
Nice to Have:
• Development experience with Java, Scala, Flume, Python
• Cassandra
• Automic scheduler
• R/R studio, SAS experience a plus
• Presto
• Hbase
• Tableau or similar reporting/dash boarding tool
• Modeling and Data Science background
• Retail industry background
Education:
BS degree in specific technical fields like computer science, math, statistics preferred
• Very Strong engineering skills. Should have an analytical approach and have good programming skills.
• Provide business insights, while leveraging internal tools and systems, databases and industry data
• Minimum of 5+ years’ experience. Experience in retail business will be a plus.
• Excellent written and verbal communication skills for varied audiences on engineering subject matter
• Ability to document requirements, data lineage, subject matter in both business and technical terminology.
• Guide and learn from other team members.
• Demonstrated ability to transform business requirements to code, specific analytical reports and tools
• This role will involve coding, analytical modeling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers other engineering team.
Must Have:
• Strong analytical background
• Self-starter
• Must be able to reach out to others and thrive in a fast-paced environment.
• Strong background in transforming big data into business insights
Technical Requirements:
• Knowledge/experience on Teradata Physical Design and Implementation, Teradata SQL Performance Optimization
• Experience with Teradata Tools and Utilities (FastLoad, MultiLoad, BTEQ, FastExport)
• Advanced SQL (preferably Teradata)
• Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.).
• Strong Hadoop scripting skills to process petabytes of data
• Experience in Unix/Linux shell scripting or similar programming/scripting knowledge
• Experience in ETL/ processes
• Real time data ingestion (Kafka)
Nice to Have:
• Development experience with Java, Scala, Flume, Python
• Cassandra
• Automic scheduler
• R/R studio, SAS experience a plus
• Presto
• Hbase
• Tableau or similar reporting/dash boarding tool
• Modeling and Data Science background
• Retail industry background
Education:
BS degree in specific technical fields like computer science, math, statistics preferred
Additional
Details:
- Advanced SQL (preferably Teradata)
- Experience working with large data sets, experience working with
distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.).
- Strong Hadoop scripting skills to process petabytes of data
- Experience in Unix/Linux shell scripting or similar
programming/scripting knowledge
- Experience in ETL/ processes
- Real time data ingestion (Kafka)
Nice
to Have:
- Development experience with Java, Scala, Flume, Python
- Cassandra
- Automic scheduler
- R/R studio, SAS experience a plus
Gtalk/IM :
umeshv.bgsl
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