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War Room \ Daily Blitz Tech Accounts
Ref No.: 18-67043
Location: Bay Area, California
Position Type:Full Time/Contract
Start Date: 09/12/2018
 
Account Name SO# Practice Area Group  ServiceLine Lcation Priority Primary Skillset  Secondary Skillset  Rate Job Description
Apple Corporation 2620799-2 BAI Big Data CA P1 Hadoop Lead SPARK 100 Must Have:
 8 to 10 years of IT experience with atleast 2 to 4 years of Hands on experience in Big Data.
 Work directly with customers' technical resources to devise and recommend solutions based on understood requirements.
 Worked in complex Big data environment with Parallel streaming platform build out experience.
 Experience on Micro services/ Rest API.
 Hands-on Programming Experience on Kafka, Avro, Spark, Hadoop, Python, Scala/Java.
 Dev Ops experience
Good To Have:
ElasticSearch
AWS experience or any other cloud platform experience
Experience with relational (SQL)/ NPP and NoSQl Databases.
Experience with one or more statistical and machine learning packages or frameworks such as R, SciKitLearn, SparkML(MLlib), Tensorflow.
Apple Corporation 2811370-1 BAI Business Analytics CA P1 Analytics Data Science 100 • Hands-on in digging into the data, doing analysis and guiding developers to code for a requirement.• Good SQL experience (preferable Teradata and Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to get the requirements to final product• Experience in analyzing the data and data modelling• Support users for UAT testing• Support the audit team with documentation and walk-thru of the changes• Prior development experience in Data warehousing projects is a plus• Manage user escalations• Having Data warehousing, Teradata or Hadoop background is a plus• MBA is a must • Hands-on in digging into the data, doing analysis and guiding developers to code for a requirement.• Good SQL experience (preferable Teradata and Hive/SparkSQL) and Techno-Functional knowledge• Work with the developer to get the requirements to final product• Experience in analyzing the data and data modelling• Support users for UAT testing• Support the audit team with documentation and w
Apple Corporation 2900012-1 BAI Big Data CA P1 Scala Developer SPARK 130 Scala Jd:
 
Designing, developing and implementing a real time data, integration using Big Data technologies such as Spark using Scala programming language.
Strong in in Spark Scala pipelines (both ETL & Streaming)
Worked on designing distributed data systems & pipelines
Experience with big data methodologies involving Hive/Hadoop/ Spark;
Experience in object oriented coding language - Java/Python
Good experience in Requirements gathering, Design & Development
Working with cross-functional teams to meet strategic goals
Experience in high volume data environments
Critical thinking and excellent verbal and written communication skills

Strong problem-solving and analytical abilities

Good knowledge of data warehousing concepts
Apple Corporation 2900022-1 BAI Big Data CA P1 Spark & Hadoop lead Scala Developer 110 Must Have:
 8 to 10 years of IT experience with atleast 2 to 4 years of Hands on experience in Big Data.
 Work directly with customers' technical resources to devise and recommend solutions based on understood requirements.
 Worked in complex Big data environment with Parallel streaming platform build out experience.
 Experience on Micro services/ Rest API.
 Hands-on Programming Experience on Kafka, Avro, Spark, Hadoop, Python, Scala/Java.
 Dev Ops experience
Good To Have:
ElasticSearch
AWS experience or any other cloud platform experience
Experience with relational (SQL)/ NPP and NoSQl Databases.
Experience with one or more statistical and machine learning packages or frameworks such as R, SciKitLearn, SparkML(MLlib), Tensorflow.
Applied Materials 2818034-1 BAI Big Data CA P1 Hive Data Modelling 110 Must Have
1. Strong in Hive and Impala query languages
2. Data Warehousing skills such a creating and maintaining data models
3. Ability to troubleshoot long running Hive/Impala queries and optimize the performance (prior experience in this is a must)
4. Hands on experience in Python with good coding standards
5. Experienced in GIT, Jenkins and Jira platforms
6. Expertise in shell scripting
7. Hands on experience in Apache Spark
8. Experience in developing ETL scripts using Python, PySpark and shell scripts
9. Job scheduling with cron
10. Experience in Cloudera Enterprise Platform and components
Added Advantage
1. Prior experience in SAP to Hadoop data migration
2. Experience/knowledge in Attunity 
3. Experience/knowledge with AtScale
4. Experience/knowledge with RedWood
5. Experience/knowledge in Solr indexing Solr Hadoop integration
Applied Materials TBD BAI Big Data CA P1 Hive Data Modelling 110 Must Have
1. Strong in Hive and Impala query languages
2. Data Warehousing skills such a creating and maintaining data models
3. Ability to troubleshoot long running Hive/Impala queries and optimize the performance (prior experience in this is a must)
4. Hands on experience in Python with good coding standards
5. Experienced in GIT, Jenkins and Jira platforms
6. Expertise in shell scripting
7. Hands on experience in Apache Spark
8. Experience in developing ETL scripts using Python, PySpark and shell scripts
9. Job scheduling with cron
10. Experience in Cloudera Enterprise Platform and components
Added Advantage
1. Prior experience in SAP to Hadoop data migration
2. Experience/knowledge in Attunity 
3. Experience/knowledge with AtScale
4. Experience/knowledge with RedWood
5. Experience/knowledge in Solr indexing Solr Hadoop integration
ebay - IT 2789784-1 BAI Big Data CA P1 SPARK Teradata 95 Backfill SO for Arun's position - Skillset requirement is SparlSQL/UNIX/Hive. Firm grip on SQL is expected. Experience in Teradata is an added advantage
Intuit Inc. 2861648-1 BAI Big Data CA P1 Big Data Engineer Hadoop Developer 120 Bigdata Developer
Intuit Inc. 2861648-2 BAI Big Data CA P1 Big Data Engineer Hadoop Developer 120 Bigdata Developer
Intuit Inc. 2861648-3 BAI VIZ & Narratives CA P1 Big Data Engineer Hadoop Developer 120 Bigdata developer
Stub Hub Inc 2771165-1 BAI Digital Analytics CA P1 Big Data Engineer Hadoop System Engineer 95 Working Proficiency and Expertise on  Strong Informatica and Oracle skills required
Strong experience with Data Warehousing concepts and standards
Work with the team to build, manage, optimize and customize ETL products and solutions applying best practices
Proficiency in SQL
Symantec Corporation 2861908-1 BAI Digital Analytics CA P1 Qlikview Qlik Sense 95 Qlikview and QLiksense  developer
PayPal, Inc. 2901992-1 BAI Advisory Services CA P1 SQL Business Analysis 105 Hands-on in digging into the data, doing analysis and guiding developers to code for a requirement.
Good SQL experience (preferable Teradata and Hive/SparkSQL) and Techno-Functional knowledge
Work with the developer to get the requirements to final product
Experience in analyzing the data and data modelling
Support users for UAT testing
Support the audit team with documentation and walk-thru of the changes
Prior development experience in Data warehousing projects is a plus
Manage user escalations
Having Data warehousing, Teradata or Hadoop background is a plus
MBA is mandatory. (Client accepts Masters in other discipline but chances of getting selected is very less)
 
PayPal, Inc. 2830603-1 BAI Big Data CA P1 Big Data Engineer Hive 110 •         5-8 years of post-college working experience in end-to-end Data Warehouse application development and deployment
•         2+ Years of experience in Architecting Hadoop/Spark/Big Data applications and environments
•         Expertise and hand-on experience with the Hive and/or SparkSQL is a must
•         Sound knowledge of relational databases (SQL)
•         Experience with large SQL based systems like Teradata, Oracle and Unix/Linux shell scripting is a plus
•         Familiar with industry best practices and how to drive efficiently while maintaining a robust service offering
PayPal, Inc. 2845401-1 BAI Big Data CA P1 Big Data Engineer Hive 110
•         5-8 years of post-college working experience in end-to-end Data Warehouse application development and deployment
•         2+ Years of experience in Architecting Hadoop/Spark/Big Data applications and environments
•         Expertise and hand-on experience with the Hive and/or SparkSQL is a must
•         Sound knowledge of relational databases (SQL)
•         Experience with large SQL based systems like Teradata, Oracle and Unix/Linux shell scripting is a plus
•         Familiar with industry best practices and how to drive efficiently while maintaining a robust service offering