Senior Data Engineer
A Highly Sought-After Company is looking for a Senior Data Engineer to join their Enterprise team!This Jobot Job is hosted by:
Christie ShellAre you a fit? Easy Apply now by clicking the Apply Now button and sending us your resume.
Salary:
$140,000 - $180,000 per yearA bit about us:
A leading retailer, and ever-expanding well-known household name, is growing their Data Engineering team and looking for a Senior Data Engineer to join them! You'll work alongside a team of some of the best and brightest engineers, and bring your expertise around data infrastructure to build scalable, secure solutions with low latency, and to ship large-scale systems to production.
You'll drive the direction of enterprise data solutions while working with Deep Learning models, streaming technologies and cutting edge software.
You'll implement Big Data and Analytics solutions and have the opportunity to influence the the technological decisions across the organization.
Why join us?What We Offer:
Competitive base salary and overall compensation package Full
Benefits:
Medical, Dental, Vision PTO, vacation, sick, and holidays Life Insurance coverage 401 (K) with generous company match Job DetailsJob Details:
We are seeking an experienced Senior Data Engineer to join our dynamic team.
As a Senior Data Engineer, you will play a pivotal role in shaping the future of the organization by leveraging your skills and experiences in AWS Cloud, AWS Redshift, Data Engineering, ETL, Data Pipelines, and Data Warehousing.
This is a permanent position, offering a unique opportunity to work with cutting-edge technologies and to influence our data strategy.
Responsibilities:
Design, build, and maintain our data infrastructure using AWS Cloud, AWS Redshift, and other modern data technologies to ensure data is accessible and reliable for our team's use.
Develop and manage ETL processes to ingest and transform large volumes of data from various sources, ensuring the data's accuracy and availability.
Build and optimize data pipelines, architectures, and data sets to support business requirements.
Work closely with the data science team to ensure the data infrastructure supports their needs and helps them to deliver insights effectively.
Develop data set processes for data modeling, mining, and production.
Implement data governance and ensure data integrity by validating data for new and ongoing projects.
Proactively identify opportunities for data acquisition and new uses for existing data.
Collaborate with cross-functional teams to support their data infrastructure needs.
Qualifications:
Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Advanced degree is a plus.
Minimum of 3
years of experience in a Data Engineer role.
Experience with AWS cloud services:
AWS Redshift, EC2, EMR, RDS, S3, etc.
Experience building and optimizing data pipelines, architectures, and data sets.
Strong experience in SQL, Python, Java, or other programming languages.
Experience with big data tools:
Hadoop, Spark, Kafka, etc.
is a plus.
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.
Ability to work independently and as part of a team, demonstrating initiative and flexibility.
Excellent communication and presentation skills with the ability to articulate complex concepts to non-technical stakeholders.
This is a fantastic opportunity to join a forward-thinking company where you will play a significant role in influencing our data strategy.
If you are a problem solver, passionate about data engineering, and ready to take your career to the next level, we would love to hear from you.
Apply now and let's shape the future of the sales industry together!Interested in hearing more? Easy Apply now by clicking the Apply Now button.
Recommended Skills Amazon Elastic Compute Cloud Amazon Relational Database Service Amazon S3 Analytical Apache Hadoop Apache Kafka Estimated Salary: $20 to $28 per hour based on qualifications.
Christie ShellAre you a fit? Easy Apply now by clicking the Apply Now button and sending us your resume.
Salary:
$140,000 - $180,000 per yearA bit about us:
A leading retailer, and ever-expanding well-known household name, is growing their Data Engineering team and looking for a Senior Data Engineer to join them! You'll work alongside a team of some of the best and brightest engineers, and bring your expertise around data infrastructure to build scalable, secure solutions with low latency, and to ship large-scale systems to production.
You'll drive the direction of enterprise data solutions while working with Deep Learning models, streaming technologies and cutting edge software.
You'll implement Big Data and Analytics solutions and have the opportunity to influence the the technological decisions across the organization.
Why join us?What We Offer:
Competitive base salary and overall compensation package Full
Benefits:
Medical, Dental, Vision PTO, vacation, sick, and holidays Life Insurance coverage 401 (K) with generous company match Job DetailsJob Details:
We are seeking an experienced Senior Data Engineer to join our dynamic team.
As a Senior Data Engineer, you will play a pivotal role in shaping the future of the organization by leveraging your skills and experiences in AWS Cloud, AWS Redshift, Data Engineering, ETL, Data Pipelines, and Data Warehousing.
This is a permanent position, offering a unique opportunity to work with cutting-edge technologies and to influence our data strategy.
Responsibilities:
Design, build, and maintain our data infrastructure using AWS Cloud, AWS Redshift, and other modern data technologies to ensure data is accessible and reliable for our team's use.
Develop and manage ETL processes to ingest and transform large volumes of data from various sources, ensuring the data's accuracy and availability.
Build and optimize data pipelines, architectures, and data sets to support business requirements.
Work closely with the data science team to ensure the data infrastructure supports their needs and helps them to deliver insights effectively.
Develop data set processes for data modeling, mining, and production.
Implement data governance and ensure data integrity by validating data for new and ongoing projects.
Proactively identify opportunities for data acquisition and new uses for existing data.
Collaborate with cross-functional teams to support their data infrastructure needs.
Qualifications:
Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Advanced degree is a plus.
Minimum of 3
years of experience in a Data Engineer role.
Experience with AWS cloud services:
AWS Redshift, EC2, EMR, RDS, S3, etc.
Experience building and optimizing data pipelines, architectures, and data sets.
Strong experience in SQL, Python, Java, or other programming languages.
Experience with big data tools:
Hadoop, Spark, Kafka, etc.
is a plus.
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.
Ability to work independently and as part of a team, demonstrating initiative and flexibility.
Excellent communication and presentation skills with the ability to articulate complex concepts to non-technical stakeholders.
This is a fantastic opportunity to join a forward-thinking company where you will play a significant role in influencing our data strategy.
If you are a problem solver, passionate about data engineering, and ready to take your career to the next level, we would love to hear from you.
Apply now and let's shape the future of the sales industry together!Interested in hearing more? Easy Apply now by clicking the Apply Now button.
Recommended Skills Amazon Elastic Compute Cloud Amazon Relational Database Service Amazon S3 Analytical Apache Hadoop Apache Kafka Estimated Salary: $20 to $28 per hour based on qualifications.
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