Viva USA Inc.
Data Engineer - Onsite
Viva USA Inc., Dallas, Texas, United States, 75201
Title: Data Engineer - Onsite
Interested in this role You can find all the relevant information in the description below.
Mandatory skills:
Data Engineering Databricks, data modeling, warehousing, pipelines, data engineering data pipelines, data integration, data systems, data science, data solution, data infrastructure data integrity, data consistency, data quality, data workflow, data anomalies ETL process, machine learning infrastructure SQL, Python, Databricks ETL, SQL Server Teradata SQL, MS SQL, IBM DB2 telecoms, mobile providers, ISP, cable, technical support
Description:
Data Engineer
The client is looking for a Data Engineer to join our Advanced Analytics team under the Wholesale organization. This engineer will design and deliver data solutions for the analytics and data science teams in the consumer organization. The engineer will be able to work with all types of interesting data: fiber network and outage data, billing, digital behavior, customer interactions, and customer demographic data. In this role, you will design and build out the modern data infrastructure to streamline the data science workflows for the data science and overarching advanced analytics teams in the consumer organization. These teams are primarily responsible for building predictive models and driving retention and sales strategy for our consumer base. The manager is looking for extensive knowledge in Databricks platform. As we migrate our existing processes from SQL Server to Databricks I need someone that can assist in pipeline builds, curated data sets, and communicate with our IT department on needs.
Responsibilities:
Develop and implement ETL pipelines to efficiently transfer data from SQL Server to Databricks, ensuring accuracy, scalability, and optimal performance. Validate and transform data within Databricks, including testing for data integrity, consistency, and quality across ingestion and processing stages. Collaborate with cross-functional teams to design, build, and optimize curated tables in Databricks for analytics and reporting purposes. Monitor and troubleshoot data workflows, addressing any issues related to performance, reliability, or data anomalies. Document data engineering processes and provide technical support for ongoing maintenance and enhancements to the Databricks environment.
Required Qualifications:
2+ years of experience as a Data Engineer in a similar role Experience with data modeling, warehousing and building pipelines Proven experience in designing and implementing comprehensive data pipelines for a variety of flows (data integration across systems, ETL processes, machine learning infrastructures) Proficient in SQL and Python Experience in Databricks ETL
Preferred Qualifications:
The more experience, the better, when it comes to the AWS ecosystem (e.g. GLUE, Athena, S3, Lambda, IAM, SageMaker, CloudWatch, API Gateway), Delta Lake, PySpark, Apache Spark, Airflow, APIs (REST, SOAP, RPC), streaming event data Understanding of system architecture and experience with large distributed systems (familiarity with the Apache Spark ecosystem) Has prior experience working with Teradata SQL, MS SQL, and IBM DB2 or similar dialects Has prior experience in continuous integration and continuous deployment of large scalable data systems Has prior experience working with and supporting a data science team Familiarity with working on data involving telecoms, mobile providers, ISPs or cable companies
Note :
Onsite
VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at hr@viva-it.com for any complaints, comments and suggestions.
Contact Details :
Account co-ordinator: Amirtha Valli Ravanan, Phone No: (847) 461-3596, Email: staffing10@viva-it.com
VIVA USA INC. 3601 Algonquin Road, Suite 425 Rolling Meadows, IL 60008 staffing10@viva-it.com | http://www.viva-it.com
Interested in this role You can find all the relevant information in the description below.
Mandatory skills:
Data Engineering Databricks, data modeling, warehousing, pipelines, data engineering data pipelines, data integration, data systems, data science, data solution, data infrastructure data integrity, data consistency, data quality, data workflow, data anomalies ETL process, machine learning infrastructure SQL, Python, Databricks ETL, SQL Server Teradata SQL, MS SQL, IBM DB2 telecoms, mobile providers, ISP, cable, technical support
Description:
Data Engineer
The client is looking for a Data Engineer to join our Advanced Analytics team under the Wholesale organization. This engineer will design and deliver data solutions for the analytics and data science teams in the consumer organization. The engineer will be able to work with all types of interesting data: fiber network and outage data, billing, digital behavior, customer interactions, and customer demographic data. In this role, you will design and build out the modern data infrastructure to streamline the data science workflows for the data science and overarching advanced analytics teams in the consumer organization. These teams are primarily responsible for building predictive models and driving retention and sales strategy for our consumer base. The manager is looking for extensive knowledge in Databricks platform. As we migrate our existing processes from SQL Server to Databricks I need someone that can assist in pipeline builds, curated data sets, and communicate with our IT department on needs.
Responsibilities:
Develop and implement ETL pipelines to efficiently transfer data from SQL Server to Databricks, ensuring accuracy, scalability, and optimal performance. Validate and transform data within Databricks, including testing for data integrity, consistency, and quality across ingestion and processing stages. Collaborate with cross-functional teams to design, build, and optimize curated tables in Databricks for analytics and reporting purposes. Monitor and troubleshoot data workflows, addressing any issues related to performance, reliability, or data anomalies. Document data engineering processes and provide technical support for ongoing maintenance and enhancements to the Databricks environment.
Required Qualifications:
2+ years of experience as a Data Engineer in a similar role Experience with data modeling, warehousing and building pipelines Proven experience in designing and implementing comprehensive data pipelines for a variety of flows (data integration across systems, ETL processes, machine learning infrastructures) Proficient in SQL and Python Experience in Databricks ETL
Preferred Qualifications:
The more experience, the better, when it comes to the AWS ecosystem (e.g. GLUE, Athena, S3, Lambda, IAM, SageMaker, CloudWatch, API Gateway), Delta Lake, PySpark, Apache Spark, Airflow, APIs (REST, SOAP, RPC), streaming event data Understanding of system architecture and experience with large distributed systems (familiarity with the Apache Spark ecosystem) Has prior experience working with Teradata SQL, MS SQL, and IBM DB2 or similar dialects Has prior experience in continuous integration and continuous deployment of large scalable data systems Has prior experience working with and supporting a data science team Familiarity with working on data involving telecoms, mobile providers, ISPs or cable companies
Note :
Onsite
VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at hr@viva-it.com for any complaints, comments and suggestions.
Contact Details :
Account co-ordinator: Amirtha Valli Ravanan, Phone No: (847) 461-3596, Email: staffing10@viva-it.com
VIVA USA INC. 3601 Algonquin Road, Suite 425 Rolling Meadows, IL 60008 staffing10@viva-it.com | http://www.viva-it.com