EPAM
Data Engineer (Data Analytics and Visualization)
EPAM, Austin, Texas, us, 78716
We are searching for a skilled
Data Engineer
to join our Data Analytics and Visualization team. The ideal candidate will play a fundamental role in supporting data pipeline executions and designing high-quality technical solutions that meet product requirements and drive strategic decisions.
#LI-DNI
#LI-OC2
Responsibilities
Support data pipeline executions end to end from raw data to data re-structuring and sending it to Google product Design modeling databases and contribute to building data platforms using classic data technologies and tools such as ETL/ELT Implement Hybrid Data solutions and write project documentation Work with product and engineering teams to understand data product requirements Evaluate new features and data architecture to help drive decisions Analyze business problems and technical environments to design high-quality technical solutions Requirements
Extensive production experience working with SQL Strong knowledge of Data Integration tools such as Pentaho, Talend, Informatica, Apache NiFi, KNIME and SSIS Expert with Relational Databases such as SQL optimization, Relations, Stored Procedures, Transactions and Isolation Levels Ability to troubleshoot outages as well as identify and trace performance issues Comfortable with pattern-driven solutioning and choosing the business requirements considering technical constraints Skilled in data-oriented programming languages such as SQL, Python, SparkSQL and PySpark History working within Data Management, Data Storage, Data Analytics, Data Visualization, Data Integration and MDM Hands on with data modeling using OLAP, OLTP, ETL and DWH Familiar with Disaster Recovery and Data Security such as Row Level & Audits Exposure to the Google Cloud Platform (GCP) We offer
Medical, Dental and Vision Insurance (Subsidized) Health Savings Account Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Short-Term and Long-Term Disability (Company Provided) Life and AD&D Insurance (Company Provided) Employee Assistance Program Unlimited access to LinkedIn learning solutions Matched 401(k) Retirement Savings Plan Paid Time Off Legal Plan and Identity Theft Protection Accident Insurance Employee Discounts Pet Insurance Employee Stock Purchase Program
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
YouTube video player
In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinances key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)
Data Engineer
to join our Data Analytics and Visualization team. The ideal candidate will play a fundamental role in supporting data pipeline executions and designing high-quality technical solutions that meet product requirements and drive strategic decisions.
#LI-DNI
#LI-OC2
Responsibilities
Support data pipeline executions end to end from raw data to data re-structuring and sending it to Google product Design modeling databases and contribute to building data platforms using classic data technologies and tools such as ETL/ELT Implement Hybrid Data solutions and write project documentation Work with product and engineering teams to understand data product requirements Evaluate new features and data architecture to help drive decisions Analyze business problems and technical environments to design high-quality technical solutions Requirements
Extensive production experience working with SQL Strong knowledge of Data Integration tools such as Pentaho, Talend, Informatica, Apache NiFi, KNIME and SSIS Expert with Relational Databases such as SQL optimization, Relations, Stored Procedures, Transactions and Isolation Levels Ability to troubleshoot outages as well as identify and trace performance issues Comfortable with pattern-driven solutioning and choosing the business requirements considering technical constraints Skilled in data-oriented programming languages such as SQL, Python, SparkSQL and PySpark History working within Data Management, Data Storage, Data Analytics, Data Visualization, Data Integration and MDM Hands on with data modeling using OLAP, OLTP, ETL and DWH Familiar with Disaster Recovery and Data Security such as Row Level & Audits Exposure to the Google Cloud Platform (GCP) We offer
Medical, Dental and Vision Insurance (Subsidized) Health Savings Account Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Short-Term and Long-Term Disability (Company Provided) Life and AD&D Insurance (Company Provided) Employee Assistance Program Unlimited access to LinkedIn learning solutions Matched 401(k) Retirement Savings Plan Paid Time Off Legal Plan and Identity Theft Protection Accident Insurance Employee Discounts Pet Insurance Employee Stock Purchase Program
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
YouTube video player
In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinances key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)