Senior Data Engineer at Amh in Las Vegas, NV | USD121,116-151,395 | Kablio

Role

Description

data pipelines

api development

platform architecture

data architecture

ci/cd

technical mentorship

Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
May occasionally work evenings and/or weekends.
Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements

apache spark

kafka

azure

databricks

python

master’s

Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
Hands-on experience with Databricks, Spark, Fabric, or similar technologies
Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
Extensive experience in Data Architecture and data modeling
Expert in data analysis and data quality frameworks.
Hands-on experience in the design and development of data pipelines and data products
Proficiency in Python and experience with CI/CD practices
Knowledgeable with BI tools such as Power BI and Tableau.
Experience in real-time integration, developing intelligent apps and data products.
Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
Minimum of ten (10) years of Experience in programming
Experience in Agile methodologies
Extensive experience in designing data applications in a cloud environment.
Strong background in IAAS platforms and infrastructure
Strong SQL Knowledge
Experience in ML and ML Pipeline a plus

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded with a vision to redefine living spaces, this company has grown into a multifaceted real estate powerhouse.
From residential communities to complex commercial developments, the company has a proven track record of delivering high-quality spaces.
The company specializes in designing, building, and managing properties that cater to a diverse range of industries and needs.
Known for their commitment to creating functional and sustainable developments, their portfolio spans various sectors, including residential, commercial, and industrial.
They have played a pivotal role in revitalizing urban landscapes with innovative projects that blend design, functionality, and sustainability.
The company’s strength lies in its holistic approach, managing the entire lifecycle of a property from conception to long-term management.
Distinct for their attention to detail and customer-centric approach, they have earned a reputation for excellence in the real estate industry.
As a forward-thinking company, they continually adapt to market changes and trends, staying ahead with cutting-edge developments and solutions.

Culture + Values

Innovation: Continuously improving and creating value for customers.
Customer Commitment: Providing quality service and support to residents.
Collaboration: Working together across departments and with residents.
Integrity: Conducting business with honesty, transparency, and accountability.
Excellence: Striving for the highest standards in every aspect of the business.

Environment + Sustainability

2050

Net Zero Target

Achieving net zero carbon emissions by the year 2050.

Implementation of energy-efficient building systems across properties.
Adopting renewable energy solutions, such as solar energy systems, in select communities.
Focus on water conservation through smart irrigation and low-flow fixtures.
Green building certifications for new properties, including LEED and Energy Star.

Inclusion & Diversity

43% Leadership

Gender Diversity

43% of leadership positions are held by women, reflecting a strong commitment to gender equality in executive roles.

Commitment to fostering a diverse and inclusive workforce.
Ongoing programs to support the recruitment and retention of underrepresented groups.
Partnerships with organizations that promote diversity in the workplace.
Regular training programs on unconscious bias and inclusive leadership.

Articles

Projects

Careers

About Us

Role

Description

data pipelines

api development

platform architecture

data architecture

ci/cd

technical mentorship

Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
May occasionally work evenings and/or weekends.
Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements

apache spark

kafka

azure

databricks

python

master’s

Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
Hands-on experience with Databricks, Spark, Fabric, or similar technologies
Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
Extensive experience in Data Architecture and data modeling
Expert in data analysis and data quality frameworks.
Hands-on experience in the design and development of data pipelines and data products
Proficiency in Python and experience with CI/CD practices
Knowledgeable with BI tools such as Power BI and Tableau.
Experience in real-time integration, developing intelligent apps and data products.
Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
Minimum of ten (10) years of Experience in programming
Experience in Agile methodologies
Extensive experience in designing data applications in a cloud environment.
Strong background in IAAS platforms and infrastructure
Strong SQL Knowledge
Experience in ML and ML Pipeline a plus

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded with a vision to redefine living spaces, this company has grown into a multifaceted real estate powerhouse.
From residential communities to complex commercial developments, the company has a proven track record of delivering high-quality spaces.
The company specializes in designing, building, and managing properties that cater to a diverse range of industries and needs.
Known for their commitment to creating functional and sustainable developments, their portfolio spans various sectors, including residential, commercial, and industrial.
They have played a pivotal role in revitalizing urban landscapes with innovative projects that blend design, functionality, and sustainability.
The company’s strength lies in its holistic approach, managing the entire lifecycle of a property from conception to long-term management.
Distinct for their attention to detail and customer-centric approach, they have earned a reputation for excellence in the real estate industry.
As a forward-thinking company, they continually adapt to market changes and trends, staying ahead with cutting-edge developments and solutions.

Culture + Values

Innovation: Continuously improving and creating value for customers.
Customer Commitment: Providing quality service and support to residents.
Collaboration: Working together across departments and with residents.
Integrity: Conducting business with honesty, transparency, and accountability.
Excellence: Striving for the highest standards in every aspect of the business.

Environment + Sustainability

2050

Net Zero Target

Achieving net zero carbon emissions by the year 2050.

Implementation of energy-efficient building systems across properties.
Adopting renewable energy solutions, such as solar energy systems, in select communities.
Focus on water conservation through smart irrigation and low-flow fixtures.
Green building certifications for new properties, including LEED and Energy Star.

Inclusion & Diversity

43% Leadership

Gender Diversity

43% of leadership positions are held by women, reflecting a strong commitment to gender equality in executive roles.

Commitment to fostering a diverse and inclusive workforce.
Ongoing programs to support the recruitment and retention of underrepresented groups.
Partnerships with organizations that promote diversity in the workplace.
Regular training programs on unconscious bias and inclusive leadership.

Articles

Projects

Careers

About Us