| Multiple Data Engineer positions : NYC, NY - ONSITE at NYC, New York, USA |
| Email: [email protected] |
| Hello My name is Urmila Pantangi, Insoursys. I am reaching out to you on exciting job opportunities with one of our clients. Job Title: Data Engineer - ETL Location: NYC, NY - Onsite Job Description: WHAT ARE WE LOOKING FOR We re looking for a Data Engineer with strong architectural skills to design and lead the development of scalable data platforms and Components. This role requires a blend of hands-on technical expertise and the ability to architect and oversee data solutions that meet the complex needs of our clients. YOU WILL GET THE CHANCE TO: Architect and design end-to-end data platforms that support large-scale, high-performance, and scalable requirements, integrating data from multiple sources including structured and unstructured data. Lead and guide a team of data engineers in the implementation of data architectures, ensuring best practices are followed and high-quality code is delivered. Design, build, and operate complex data pipelines, working closely with data scientists and other stakeholders to put Solutions/code into production. Analyze, diagnose, and optimize data workflows, identifying bottlenecks and improving overall performance. Participate in demos and training sessions for clients, translating business requirements into robust technical solutions. Monitor, refine, and report on the performance of data management systems, ensuring data quality, integrity, and security. Provide architectural guidance and technical leadership to both the team and clients, contributing to the strategic roadmap of the Digital Services Platform. Collaborate with infrastructure and support teams to address critical issues and ensure seamless operation of data systems. WHAT WILL HELP YOU SUCCEED: 4+ years of experience in SQL and database management. 3+ years of experience with Java. 3+ years of experience in Python programming. In-depth knowledge of ETL tools, data integration, and batch data movement processes. Hands-on experience with AWS and PySpark, ETL tools, others. Proven experience in designing and architecting scalable data solutions, with a strong understanding of Batch data movement and ETL technologies and distributed data solutions. Experience leading teams in data architecture and engineering projects, with a focus on delivering high-quality, scalable solutions. NICE TO HAVES: 2+ years of experience with Snowflake data warehousing. Experience with data transformation tools like DBT. 2+ years of experience with Informatica or similar data integration tools. Job Title: Data Engineer - SEARCH Location: NYC, NY - Onsite Job Description: WHAT ARE WE LOOKING FOR We are looking for a Data Engineer with strong architectural skills to design and lead the development of scalable data platforms and Components. This role requires a blend of hands-on technical expertise and the ability to architect and oversee data solutions that meet the complex needs of our clients. YOU WILL GET THE CHANCE TO : Architect and design end-to-end data platforms that support large-scale, high-performance, and scalable requirements, integrating data from multiple sources including structured and unstructured data. Lead and guide a team of data engineers in the implementation of data architectures, ensuring best practices are followed and high-quality code is delivered. Design, build, and operate complex data pipelines, working closely with data scientists and other stakeholders to put Solutions/code into production. Analyze, diagnose, and optimize data workflows, identifying bottlenecks and improving overall performance. Participate in demos and training sessions for clients, translating business requirements into robust technical solutions. Monitor, refine, and report on the performance of data management systems, ensuring data quality, integrity, and security. Provide architectural guidance and technical leadership to both the team and clients, contributing to the strategic roadmap of the Digital Services Platform. Collaborate with infrastructure and support teams to address critical issues and ensure seamless operation of data systems. WHAT WILL HELP YOU SUCCEED : 4+ years of experience in SQL and database management. 3+ years of experience with Java. Expertise in search technologies like Elasticsearch and OpenSearch. Hands-on experience with AWS and Search Elastic, OpenSearch, others. Proven experience in designing and architecting scalable data solutions, with a strong understanding of search technologies and distributed data solutions. Experience leading teams in data architecture and engineering projects, with a focus on delivering high-quality, scalable solutions. NICE TO HAVES : 2+ years of experience with Snowflake data warehousing. Experience with data transformation tools like DBT. 2+ years of experience with Informatica or similar data integration tools. Job Title: Data Engineer BIG DATA Location: NYC, NY - Onsite Job Description: WHAT ARE WE LOOKING FOR We re looking for a Data Engineer with strong architectural skills to design and lead the development of scalable data platforms and Components. This role requires a blend of hands-on technical expertise and the ability to architect and oversee data solutions that meet the complex needs of our clients. YOU WILL GET THE CHANCE TO: Architect and design end-to-end data platforms that support large-scale, high-performance, and scalable requirements, integrating data from multiple sources including structured and unstructured data. Lead and guide a team of data engineers in the implementation of data architectures, ensuring best practices are followed and high-quality code is delivered. Design, build, and operate complex data pipelines, working closely with data scientists and other stakeholders to put Solutions/code into production. Analyze, diagnose, and optimize data workflows, identifying bottlenecks and improving overall performance. Participate in demos and training sessions for clients, translating business requirements into robust technical solutions. Monitor, refine, and report on the performance of data management systems, ensuring data quality, integrity, and security. Provide architectural guidance and technical leadership to both the team and clients, contributing to the strategic roadmap of the Digital Services Platform. Collaborate with infrastructure and support teams to address critical issues and ensure seamless operation of data systems. WHAT WILL HELP YOU SUCCEED : 4+ years of experience in SQL and database management. 3+ years of experience with Java. 3+ years of experience in Python programming. Hands-on experience with AWS and Apache Airflow, and data processing frameworks like Apache Spark and PySpark. Proven experience in designing and architecting scalable data solutions, with a strong understanding of big data technologies and distributed data solutions. Experience leading teams in data architecture and engineering projects, with a focus on delivering high-quality, scalable solutions. NICE TO HAVES : 2+ years of experience with Snowflake data warehousing. Experience with data transformation tools like DBT. 2+ years of experience with Informatica or similar data integration tools Job Title: Data Engineer DBA Location: NYC, NY - Onsite Job Description: WHAT ARE WE LOOKING FOR We re looking for a Data Engineer with strong architectural skills to design and lead the development of scalable data platforms and Components. This role requires a blend of hands-on technical expertise and the ability to architect and oversee data solutions that meet the complex needs of our clients. YOU WILL GET THE CHANCE TO : Architect and design end-to-end data platforms that support large-scale, high-performance, and scalable requirements, integrating data from multiple sources including structured and unstructured data. Lead and guide a team of data engineers in the implementation of data architectures, ensuring best practices are followed and high-quality code is delivered. Design, build, and operate complex data pipelines, working closely with data scientists and other stakeholders to put Solutions/code into production. Analyze, diagnose, and optimize data workflows, identifying bottlenecks and improving overall performance. Participate in demos and training sessions for clients, translating business requirements into robust technical solutions. Monitor, refine, and report on the performance of data management systems, ensuring data quality, integrity, and security. Provide architectural guidance and technical leadership to both the team and clients, contributing to the strategic roadmap of the Digital Services Platform. Collaborate with infrastructure and support teams to address critical issues and ensure seamless operation of data systems. WHAT WILL HELP YOU SUCCEED : 4+ years of experience in SQL and database management. 3+ years of experience with Java. 3+ years of experience with DBA tasks. Hands-on experience with AWS and No Sql DB dynamo, Cassandra or others. Experience leading teams in data architecture and engineering projects, with a focus on delivering high-quality, scalable solutions. NICE TO HAVES : 2+ years of experience with Snowflake data warehousing. Experience with data transformation tools like DBT. 2+ years of experience with Informatica or similar data integration tools. Thanks & Regards, Urmila Pantangi P: 972-440-0055 Insoursys 7460 Warren Pkwy,Suite 100, Frisco, TX 75034. Email: [email protected] Website: www.insoursys.com -- Keywords: access management database information technology New York Texas Multiple Data Engineer positions : NYC, NY - ONSITE [email protected] |
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| Thu Aug 15 21:32:00 UTC 2024 |