8 days old
2018-07-112018-08-08
  • Job Code
    632157
job summary:

We are looking for a Data Engineer with 5+ years of experience in a Data Engineer or related role. We're looking first and foremost for a talented engineer comfortable in a variety of languages and frameworks; however, we'd consider the following experience a bonus: - Python and/or JVM-based languages (Java/Scala) - AWS cloud services: EC2, Lambda, ECS, S3 - SQL and NoSQL databases, including MySQL and DynamoDB - Spark or other ETL-based tools

We are looking for a talented Data Engineer to join our growing team and play an instrumental role in shaping our next-generation architecture. The hire will be responsible for expanding and supporting our current data ingest processes, working closely with business stakeholders to ensure optimal data delivery and quality. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up, with an emphasis on simplicity, visibility, and the ability to query data. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and initiatives.

Responsibilities:

- Help build a modern data architecture serving the needs of our applications and data-based initiatives

- Streamline our current ingest processes with a focus on automation, monitoring, and high visibility

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.

- Assemble large, complex data sets that meet business requirements and power machine learning algorithms

- Work with stakeholders across multiple teams to assist with data-related technical issues and support their data infrastructure needs. Desired Qualifications

- Advanced SQL knowledge and experience with relational databases and modern NoSQL datastores

- Experience integrating with a variety of datasources (FTP, API, AWS-based protocols, etc.) and data formats (XML, JSON, CSV)

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Strong analytic skills related to working with unstructured datasets.

- Strong project management and organizational skills.

- Experience supporting and working with cross-functional teams in a dynamic environment.

 
location: Wayne, Pennsylvania
job type: Contract
work hours: 9 to 5
education: Bachelors
 
responsibilities:

- Help build a modern data architecture serving the needs of our applications and data-based initiatives

- Streamline our current ingest processes with a focus on automation, monitoring, and high visibility

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.

- Assemble large, complex data sets that meet business requirements and power machine learning algorithms

- Work with stakeholders across multiple teams to assist with data-related technical issues and support their data infrastructure needs. Desired Qualifications

- Advanced SQL knowledge and experience with relational databases and modern NoSQL datastores

- Experience integrating with a variety of datasources (FTP, API, AWS-based protocols, etc.) and data formats (XML, JSON, CSV)

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Strong analytic skills related to working with unstructured datasets.

- Strong project management and organizational skills.

- Experience supporting and working with cross-functional teams in a dynamic environment.

 
qualifications:

We are looking for a Data Engineer with 5+ years of experience in a Data Engineer or related role. We're looking first and foremost for a talented engineer comfortable in a variety of languages and frameworks; however, we'd consider the following experience a bonus: - Python and/or JVM-based languages (Java/Scala) - AWS cloud services: EC2, Lambda, ECS, S3 - SQL and NoSQL databases, including MySQL and DynamoDB - Spark or other ETL-based tools

We are looking for a talented Data Engineer to join our growing team and play an instrumental role in shaping our next-generation architecture. The hire will be responsible for expanding and supporting our current data ingest processes, working closely with business stakeholders to ensure optimal data delivery and quality. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up, with an emphasis on simplicity, visibility, and the ability to query data. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and initiatives.

Responsibilities:

- Help build a modern data architecture serving the needs of our applications and data-based initiatives

- Streamline our current ingest processes with a focus on automation, monitoring, and high visibility

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.

- Assemble large, complex data sets that meet business requirements and power machine learning algorithms

- Work with stakeholders across multiple teams to assist with data-related technical issues and support their data infrastructure needs. Desired Qualifications

- Advanced SQL knowledge and experience with relational databases and modern NoSQL datastores

- Experience integrating with a variety of datasources (FTP, API, AWS-based protocols, etc.) and data formats (XML, JSON, CSV)

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Strong analytic skills related to working with unstructured datasets.

- Strong project management and organizational skills.

- Experience supporting and working with cross-functional teams in a dynamic environment.

 
skills: We are looking for a Data Engineer with 5+ years of experience in a Data Engineer or related role. We're looking first and foremost for a talented engineer comfortable in a variety of languages and frameworks; however, we'd consider the following experience a bonus: - Python and/or JVM-based languages (Java/Scala) - AWS cloud services: EC2, Lambda, ECS, S3 - SQL and NoSQL databases, including MySQL and DynamoDB - Spark or other ETL-based tools

We are looking for a talented Data Engineer to join our growing team and play an instrumental role in shaping our next-generation architecture. The hire will be responsible for expanding and supporting our current data ingest processes, working closely with business stakeholders to ensure optimal data delivery and quality. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up, with an emphasis on simplicity, visibility, and the ability to query data. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and initiatives.

Responsibilities:

- Help build a modern data architecture serving the needs of our applications and data-based initiatives

- Streamline our current ingest processes with a focus on automation, monitoring, and high visibility

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.

- Assemble large, complex data sets that meet business requirements and power machine learning algorithms

- Work with stakeholders across multiple teams to assist with data-related technical issues and support their data infrastructure needs. Desired Qualifications

- Advanced SQL knowledge and experience with relational databases and modern NoSQL datastores

- Experience integrating with a variety of datasources (FTP, API, AWS-based protocols, etc.) and data formats (XML, JSON, CSV)

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Strong analytic skills related to working with unstructured datasets.

- Strong project management and organizational skills.

- Experience supporting and working with cross-functional teams in a dynamic environment.


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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