Fracsys Inc

Senior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and Data. extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence. Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift. Experience in snowflake is an added bonus.. Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark

data engineer

Job Description Job Description Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data Warehousing and Business Intelligence projects. This positions requires US Citizenship due to Clearance requirements. Responsibilities Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory
Data Analysis, Data Wrangling,
Write complex SQL queries and stored procedures to extract, manipulate, and analyze data from
relational databases
Conduct diagnostic, troubleshooting steps and present conclusions to a varied audience
comfortable slinging some code to solve a problem
Build Data Marts and Data warehouses to facilitate analytical capabilities across the varied sources of data
Design and implement data patterns on cloud using cloud Data warehouse and data virtualization tools
Evaluate new tools and technologies for target state on cloud
Learn and implement new ETL, BI tools and data warehousing technologies
Qualifications Senior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and Data
Science.
Experience creating Data Marts, Data warehouses on-premise and on cloud for real time and batch processing frameworks
Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service
extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence
Experience building self-service data consumption patterns and knowledge of cloud-based data Lake platforms
Experience wrangling data (structured and unstructured), in-depth knowledge of database architecture
Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift
Experience in snowflake is an added bonus.
Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark
Ability to drive, contribute to, and communicate solutions to technical product challenges
Ability to roll-up your sleeves and work in process or resource gaps and fill it in yourself
Excellent written and oral communication skills in English
Education Bachelor’s degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. Master’s degree is preferred.
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