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Job Requirements of Big data:
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Employment Type:
Full-Time
-
Experience:
Not Specified
-
Education:
Not Specified
-
Travel:
Not Specified
-
Manage Others:
Not Specified
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Location:
Gurugram, Haryana (Onsite)
Do you meet the requirements for this job?
Big data
Diverse Lynx India Pvt. Ltd.
Gurugram, Haryana (Onsite)
Full-Time
Experience and Qualifications Required
B.E./B.Tech
or M.C.A
in Computer Science from a reputed University.
7-10 years of Experience.
Essential Skills
Data modelling and Data ingestion skills
Should be comfortable in working with Sqoop/Hive/Impala/Spark
Architecting, planning and implementation of end-to-end Data Warehouse and Business Intelligence systems utilizing best practices from Data Architecture, Data Integration and Data Management areas.
Expert Data Modelling skills: entity-relationship as well as dimensional, design experience of staging area, data warehouses.
Excellent understanding of Data modelling (Dimensional & Relational) on concepts like Star-schema, Snowflake schema using fact and dimension tables and relational databases.
Data Analysis, Source System Analysis and Data Mapping to Target Data Model
Extensive knowledge in in Data Integration architecture / ETL / Data warehouse, especially large and complex data warehouses.
Strong experience in SQL and PL/SQL
The candidate must be hands-on on these technologies
Good experience with Oracle 11g/12c databases including thorough understanding of Partitioning, Indexing, Archiving, Materialized Views, at least 2+ years
Knowledge of Unix and shell scripting and scheduling tools (control-M or autosys) is preferred, at least 2+ years
Understanding of row and column level security, data masking concepts; role and access privileges
Strong understanding of Oracle BI server, Oracle BI Answers, BI interactive Dashboards, Smartview, Oracle BI Publisher.
Experience of Infrastructure considerations, like sizing, server configuration, DR strategies, load balancing would be an advantage
Experience with Python/HiveQL/Spark Sql.
Data Analysis, Source System Analysis and Data Mapping to Target Data Model
Experience with HR data.
Knowledge in Data Integration architecture / ETL / Data warehouse, especially large and complex data warehouses.
Strong experience in SQL and PL/SQL
The candidate must be hands-on on these technologies
Good experience with relational databases including thorough understanding of Partitioning, Indexing, Archiving, Materialized Views, at least 2+ years
Knowledge of Unix shell scripting/Python/Powershell and Visio.
Understanding of Reporting tools like OBIEE, Power BI or Tableau.
Understanding of Agile processes and experience in working JIRA.
Excellent communication (verbal and written) and interpersonal skills suitable for a diverse audience, with the ability to communicate in a positive, friendly and effective manner with technical or non-technical users/ customers
5-7 years of overall IT experience
Ability to design complex systems & workflows from scratch.
Good understanding about RDBMS & NoSQL databases.
Sound knowledge about Sqoop & Hive.
Hbase modelling and development
Spark processing and performance tuning
Sqoop data ingestions
Parquet file partitioning
Impala
Desirable Skills
Experience in using other ETL tools.
Integrations with Cloud systems like Workday.
Experience of working in Big Data Technology stack and Advanced Analysis
Exposure of human resources data.
Good analysis skills to be able to join the dots across multiple applications and interfaces between them
Proven ability to work under pressure and in a team environment.
Self-motivated, flexible, responsible, and a penchant for quality
Ability to work with cross-functional teams.
Knowledge of Oracle database
Exposure to the HR industry would be an advantage
Experience of complete project lifecycle execution from Requirements Analysis to Production Support
Security around big data platform.
Experience modelling and using NOSQL Databases, preferably Cassandra
Good analysis skills to be able to join the dots across multiple applications and interfaces between them
Self-motivated, flexible, responsible, and a penchant for quality
B.E./B.Tech
or M.C.A
in Computer Science from a reputed University.
7-10 years of Experience.
Essential Skills
Data modelling and Data ingestion skills
Should be comfortable in working with Sqoop/Hive/Impala/Spark
Architecting, planning and implementation of end-to-end Data Warehouse and Business Intelligence systems utilizing best practices from Data Architecture, Data Integration and Data Management areas.
Expert Data Modelling skills: entity-relationship as well as dimensional, design experience of staging area, data warehouses.
Excellent understanding of Data modelling (Dimensional & Relational) on concepts like Star-schema, Snowflake schema using fact and dimension tables and relational databases.
Data Analysis, Source System Analysis and Data Mapping to Target Data Model
Extensive knowledge in in Data Integration architecture / ETL / Data warehouse, especially large and complex data warehouses.
Strong experience in SQL and PL/SQL
The candidate must be hands-on on these technologies
Good experience with Oracle 11g/12c databases including thorough understanding of Partitioning, Indexing, Archiving, Materialized Views, at least 2+ years
Knowledge of Unix and shell scripting and scheduling tools (control-M or autosys) is preferred, at least 2+ years
Understanding of row and column level security, data masking concepts; role and access privileges
Strong understanding of Oracle BI server, Oracle BI Answers, BI interactive Dashboards, Smartview, Oracle BI Publisher.
Experience of Infrastructure considerations, like sizing, server configuration, DR strategies, load balancing would be an advantage
Experience with Python/HiveQL/Spark Sql.
Data Analysis, Source System Analysis and Data Mapping to Target Data Model
Experience with HR data.
Knowledge in Data Integration architecture / ETL / Data warehouse, especially large and complex data warehouses.
Strong experience in SQL and PL/SQL
The candidate must be hands-on on these technologies
Good experience with relational databases including thorough understanding of Partitioning, Indexing, Archiving, Materialized Views, at least 2+ years
Knowledge of Unix shell scripting/Python/Powershell and Visio.
Understanding of Reporting tools like OBIEE, Power BI or Tableau.
Understanding of Agile processes and experience in working JIRA.
Excellent communication (verbal and written) and interpersonal skills suitable for a diverse audience, with the ability to communicate in a positive, friendly and effective manner with technical or non-technical users/ customers
5-7 years of overall IT experience
Ability to design complex systems & workflows from scratch.
Good understanding about RDBMS & NoSQL databases.
Sound knowledge about Sqoop & Hive.
Hbase modelling and development
Spark processing and performance tuning
Sqoop data ingestions
Parquet file partitioning
Impala
Desirable Skills
Experience in using other ETL tools.
Integrations with Cloud systems like Workday.
Experience of working in Big Data Technology stack and Advanced Analysis
Exposure of human resources data.
Good analysis skills to be able to join the dots across multiple applications and interfaces between them
Proven ability to work under pressure and in a team environment.
Self-motivated, flexible, responsible, and a penchant for quality
Ability to work with cross-functional teams.
Knowledge of Oracle database
Exposure to the HR industry would be an advantage
Experience of complete project lifecycle execution from Requirements Analysis to Production Support
Security around big data platform.
Experience modelling and using NOSQL Databases, preferably Cassandra
Good analysis skills to be able to join the dots across multiple applications and interfaces between them
Self-motivated, flexible, responsible, and a penchant for quality
Recommended Skills
- Agile Methodology
- Analytical
- Apache Spark
- Architecture
- Bi Publisher
- Big Data
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