| Job Opening || Senior Data Engineer (Onsite) 9 to 15+ years Experience || at Irving, Texas, USA |
| Email: [email protected] |
| From: Vivek, Smartitframe [email protected] Reply to: [email protected] Role: Senior Data Engineer, Location: Irving, TX ( Onsite ) Experience: 9 to 12 Years, 1. GCP, BigQuery, Cloud Dataproc, Airflow, Composer, Airflow 2. PySpark, Python, Java, Hive, SQL 3. Hadoop architecture, HDFS experience Job summary Perform the Data Engineer activities Required Skills ,BigQuery,Cloud Dataproc,Airflow Nice to have skills ,PySpark 6.Technology -Not Applicable Shift Day 8.Roles & Responsibilities Analyzes complex data structures from disparate data sources and design large scale data engineering pipeline Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs Collaborates with product business and data science team to collect user stories and translate into technical specifications Uses knowledge in Cloud & Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines Uses strong programming skills in PySpark, Python, Java or any of the major languages to build robust data pipelines and dynamic systems Builds highly scalable and extensible data marts and data models to support Data Science and other internal customers on Cloud. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions Experiments with available tools and advice on new tools to determine optimal solution given the requirements dictated by the model/use case Required Qualifications 3+ years of progressively complex related experience in cloud data engineering and data analysis Knowledge in programing languages such as PySpark, Java, Python, Hive, SQL Knowledge in Cloud Technology, Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using Dataproc, composer services on GCP or other Cloud Platforms 2+ years of development experience in GCP and native tools & services such as DataProc, Composer, BigQuery, Airflow 2 to 3+ years of PySpark or Scala or Python programing proficient in SQL 3+ years of working with data & data warehouse experience 9.Job Location Primary: USTXDAAC01 Dallas - TX USA, CLT Alternate: , 10.Job Type 60CW00 Business Associate 11.Demand Requires Travel N 12.Certification(s) Required NA Years of Experience: 14.00 Years of Experience Keywords: Texas |
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| Tue Sep 05 18:58:00 UTC 2023 |