GDS Advisory _ Data Analytics Senior Consultant
Ernst & Young Global Limited
Philippines
2d ago

SENIOR

ü6 to 12 years of experience with Information Management, Business Intelligence and Big Data skills.

üExperience in data modelling primarily for data warehousing purposes.

üAbility to design and implement an ETL solutions and experience in working with data visualization tools.

üDefine data integration approach, solution, processes.

üAwareness of standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis

As a Data Engineer you will consult on client projects, technically lead the team in implementing data integration process data extraction, data transformation, data load, data quality management and meta data management.

Need to work as a senior team member to contribute in various technical streams of EI implementation project.

Source data from various data source systems.

Provide product and design level technical best practices

Interface and communicate with the onsite / offshore coordinators

Completion of assigned tasks on time and regular status reporting to the lead.

Foster teamwork and lead by example

Training and mentoring of project resources

Must be hands on SQL and procedural SQL languages and ETL tools like Informatica,SAP BODS, Data Stage,ODI,SSIS etc.

Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.

Should have understanding and experience of software development best practices

Excellent business communication, Consulting, Quality process skills

Mandatory Experience

Should have completed at least 2 full life cycle experience in a ETL project using any tools like Informatica, SAP BODS, ODI,SSIS,Datastage.

Must have at least 4 years of deep experience in ETL tools.

Should have lead / develop at least one Big Data project / POC.

In depth understanding of data management concepts.

Very good understanding of the concepts and technology around data extraction, data transformation and data load.

Good understanding about data profiling, data quality management and metadata management.

Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals

Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms

Flexible and proactive / self-motivated working style with strong personal ownership of problem resolution excellent inter-personal skills.

Must be a team player and enjoy working in a cooperative and collaborative team environment.

Understanding of Business Intelligences and Data Warehousing.

Minimum 8 years hand-on experience in one or more of the above

Desired Experience :

Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB

Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm.

Relational and / or Dimensional Data Modeling.

UNIX / Shell scripting experience.

Desirable Skills :

Prior Client facing skills

SENIOR

ü6 to 12 years of experience with Information Management, Business Intelligence and Big Data skills.

üExperience in data modelling primarily for data warehousing purposes.

üAbility to design and implement an ETL solutions and experience in working with data visualization tools.

üDefine data integration approach, solution, processes.

üAwareness of standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis

As a Data Engineer you will consult on client projects, technically lead the team in implementing data integration process data extraction, data transformation, data load, data quality management and meta data management.

Need to work as a senior team member to contribute in various technical streams of EI implementation project.

Source data from various data source systems.

Provide product and design level technical best practices

Interface and communicate with the onsite / offshore coordinators

Completion of assigned tasks on time and regular status reporting to the lead.

Foster teamwork and lead by example

Training and mentoring of project resources

Must be hands on SQL and procedural SQL languages and ETL tools like Informatica,SAP BODS, Data Stage,ODI,SSIS etc.

Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.

Should have understanding and experience of software development best practices

Excellent business communication, Consulting, Quality process skills

Mandatory Experience

Should have completed at least 2 full life cycle experience in a ETL project using any tools like Informatica, SAP BODS, ODI,SSIS,Datastage.

Must have at least 4 years of deep experience in ETL tools.

Should have lead / develop at least one Big Data project / POC.

In depth understanding of data management concepts.

Very good understanding of the concepts and technology around data extraction, data transformation and data load.

Good understanding about data profiling, data quality management and metadata management.

Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals

Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms

Flexible and proactive / self-motivated working style with strong personal ownership of problem resolution excellent inter-personal skills.

Must be a team player and enjoy working in a cooperative and collaborative team environment.

Understanding of Business Intelligences and Data Warehousing.

Minimum 8 years hand-on experience in one or more of the above

Desired Experience :

Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB

Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm.

Relational and / or Dimensional Data Modeling.

UNIX / Shell scripting experience.

Desirable Skills :

Prior Client facing skills

Apply
Add to favorites
Remove from favorites
Apply
My Email
By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
Continue
Application form