Job Details

Drive solution architecture for at least two data lake implementations on Hadoop platforms (Hortonworks/Cloudera) on AWS and Azure

Has hand on experience and created point of views for atleast five core Microsoft Azure services including Azure data factory, SQL Data warehouse, Azure Data catalog and ADLS, HDInsight/Databricks)

Built automation routines leveraging Azure leveraging ARM templates, power shell scripts, ADF, Azure functions and Azure Batch

Design migration of data stores/workloads to AWS Red shift leveraging AWS EMR/Glue

Architect data orchestration workflows in at least 2projects leveraging Talend ETL/Informatica Big data and Hortonworks Data Flow (HDF) through Apache Spark for data transformations and processing on Hadoop

Experience in implementing data virtualization tools and self-service analytics capabilities on data lakes (including Dremio or Apache Drill)

Work with client architects and product managers in driving towards the right solution, from potential options, that aligns to the vision of the program

Work with the development teams on a day to day basis to validate and own the design being implemented

Conduct proofs of concepts and create point of views independently to validate the architecture, tools and solutions being proposed

Applied experience and expertise in Big Data implementations, especially leveraging Cloud Native stacks

Relevant degree in the fields of Computer Science, Statistics, Operations Research, or other quantitative fields

Proven track record of analyzing Enterprise level data needs, solutions and modeling conceptual/functional architectures

In-depth understanding of Information Management engineering and delivery concepts

Business Intelligence / Analytics or ETL experience required.

Curiosity in data and a strong desire to continuously improve.

Fast learner, detail oriented and must enjoy fast-paced work environments.

Excellent analytical, collaboration, verbal and written skills.

Experience working with C-level executives highly preferred

Manager and Sr. Manager candidates accepted Must be able to demonstrate all of the needs below

Drive solution architecture for at least two data lake implementations on Hadoop platforms (Hortonworks/Cloudera) on AWS and Azure

Has hand on experience and created point of views for at least five core Microsoft Azure services including Azure data factory, SQL Data warehouse, Azure Data catalog and ADLS, HDInsight/Databricks)

Built automation routines leveraging Azure leveraging ARM templates, PowerShell scripts, ADF, Azure functions and Azure Batch

Design migration of data stores/workloads to AWS Redshift leveraging AWS EMR/Glue

Architect data orchestration workflows in at least 2projects leveraging Talend ETL/Informatica Big data and Hortonworks Dataflow (HDF) through Apache Spark for data transformations and processing on Hadoop

Experience in implementing data virtualization tools and self-service analytics capabilities on data lakes (including Dremio or Apache Drill)

Work with client architects and product managers in driving towards the right solution, from potential options, that aligns to the vision of the program

Work with the development teams on a day to day basis to validate and own the design being implemented

Conduct proofs of concepts and create point of views independently to validate the architecture, tools and solutions being proposed

Applied experience and expertise in Big Data implementations, especially leveraging Cloud Native stacks

Relevant degree in the fields of Computer Science, Statistics, Operations Research, or other quantitative fields

Proven track record of analyzing Enterprise level data needs, solutions and modeling conceptual/functional architectures

In-depth understanding of Information Management engineering and delivery concepts

Business Intelligence / Analytics or ETL experience required.

Curiosity in data and a strong desire to continuously improve.

Fast learner, detail oriented and must enjoy fast-paced work environments

Excellent analytical, collaboration, verbal and writtenskills.

Experience working with C-level executives highly preferred