Salesforce.com, Inc Senior Data Engineer in Indianapolis, Indiana
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Products and Technology
As part of the Finance and Strategy (F&S) Operations team, Senior Data Engineer role will develop and support operational reporting, data engineering work and our business intelligence application suite in Einstein Analytics. You will be accountable for building prototypes, optimizing and delivering data for core portfolio of KPIs. Partner with cross functional teams to evolve 1-3 year roadmap, engage in critical data related work involved in development and innovation of Tableau and Einstein Analytics dashboards. In this role you will work on high impact business insights projects with high visibility and used by Salesforce executives. You will be encouraged to leverage and implement latest Salesforce products and technologies. In addition, you will often be required to address and solve for adhoc/unstructured problems in a highly fast paced environment requiring quick turnaround and partnership with key stakeholders across the company.
Day to Day tasks:
Build data feed prototypes from enterprise data warehouse and other data sources into the FI Data Mart
Take complete ownership of the data quality, data mapping, business logic, transformation rule for the data feeds built and have a passion for high quality data
As we expand into other platforms, build and implement data prototypes across diverse technology platforms ie Snowflake, Oracle databases, Python and cloud platforms like Heroku
Closely work with Metric owners and users to build the next generation data integration capabilities which in turn will support a variety of finance processes
Use your expertise across a number of tools and work with IT team to build data analytics solution/ integrations
Have a high sense of urgency to deliver projects as well as troubleshoot and fix data queries/ issues
Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity
Collaboratively work and act as liaison with IT and Product teams in fast paced environment, to meet deadlines
Desired Skills and Experience:
Have a bachelors or Masters in Computer Science or related field with at least 5 years experience in a highly technical data organization
5+ years experience in writing complicated database queries in SQL language ( Oracle, Snowflake, Hive, etc)
3+ years of experience in ETL design and implementation using Informatica/Alteryx/Airflow
Experience working with very large data sets, knows how to build programs that leverage the parallel capabilities of Python and database platforms
Strong knowledge of database performance concepts like indices, segmentation, projections, and partitions.
Experience working in a data warehouse environment with diverse data sources and visualization tools like Tableau, Einstein Analytics and Business objects
Proficient in Python and unix serve scripting
Proficient in designing, documenting and developing scalable data architecture and process flows
Communicates in a clear, concise and timely manner and operates effectively as a team player
Experience presenting to stakeholders or other decision makers to present and sell ideas to various audiences (technical and non-technical)
Experience executing projects with cross-functionally with various stakeholders from start to finish
Self-directed/motivated with excellent organizational skills
Must be comfortable with changing requirements and priorities
Resourceful with a strong work ethic and are willing to go the extra mile to get work done. Must be results oriented and ability to move forward without complete information
Strong desire to explore and learn Datas science related technologies. Proactive in identifying uses-case and solutions
Salesforce experience/ certification is a plus but not required
Familiarity with big data, Hadoop Ecosystem of Tools
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