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22.09.2023
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Salesforce Data Engineer United States, Indiana, Indianapolis
Acquire, clean, and structure data from multiple sources including applog data from Hadoop, dimensional from Oracle databases, AWS, Salesforce objects, and external data sources. Design and develop tailored data structures...
Design, implement, and support a platform providing secured access to large datasets. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions....
Proactively seeks out opportunities to address customer needs and influences stakeholders so that we are building the best solutions for the most important problems. Support the design and development of...
Design and implement end-to-end data pipelines supporting analytical and operational needs accounting for data management practices focused on data quality, metadata management etc. Architect, design, and implement cloud native solutions...
DESCRIPTIONAs a Data Engineer in this team, you will take a leadership role in the data platform and you will solve big data warehousing problems on a massive scale. You...
Job Duties: Provide data insights for key People initiatives using visualization tools like Tableau and support Pay Pal and People organizational functions. Set reporting capabilities for end user to track...
Develop and implement ETL processes. Design data warehouse solutions to support ETL processes and data analytics applications. Write SQL/NoSQL database queries, stored procedures, triggers, user defined functions, analytic functions, etc....
Acquire, clean, and structure data from multiple sources including applog data from Hadoop, dimensional from Oracle databases, AWS, Salesforce objects, and external data sources. Design and develop tailored data structures...
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.