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Job Duties: Architecting and building data engineering infrastructure on AWS, utilizing services such as Airflow, EMR, ECS, S3, Glue, and others. Implement and manage data orchestration workflows using Apache Airflow to schedule, monitor, and optimize data processing tasks. Enhancing dbt (data build tool) functionality to integrate with the cloud data platform through custom utilities, improving CI/CD processes. Advocate for metadata-driven design principles to improve data lineage, documentation, and governance. Monitor and optimize data pipelines for efficiency, scalability, and cost-effectiveness, employing abstract class methodology to ensure platform performance. Security and compliance are critical, requiring adherence to data encryption, access controls, and auditing standards. Collaboration with data engineers, scientists, analysts, and other stakeholders is necessary to understand data requirements and deliver tailored solutions. Maintaining comprehensive documentation of data engineering processes, pipelines, and architecture is also essential.
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Systems Engineering, Computer Science, Engineering (any field) or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in a related field.
A related technical degree required (Systems Engineering, Computer Science, Engineering (any field)).
Special Skill Requirements: (1) Python; (2) Apache Airflow and MWAA; (3) AWS services (VPC, EC2, Lambda, S3, or Glue); (4) Terraform; (5) PySpark; (6) React; (7) C++; (8) SQL; (9) Metadata-driven design; (10) Object-Oriented Programming (OOP); (11) CI/CD (GitHub Actions or Jenkins); (12) Data governance (RBAC); (13) Data modeling (dbt or Snowflake); (14) Query optimization. Any suitable combination of education, training and/or experience is acceptable.
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Role Description:
Associate Data Analytics - Business Intelligenceposition will be responsible for delivering insights, conducting adoption tests, and working with senior BI engineers and a cross-functional team to productize these insights. This person will play the role of a data analyst working with the strategy and growth analysts, data science and data engineers to provide insights to help support product and business growth. They will help design, develop & maintain visual display of all the mission critical data sets generated by the DnA team for statistical and machine learning computational requirements. This person will also play the role of “Data Artist”, making an impact by storytelling with data in summarizing, profiling, sampling, visualizing and analyzing terabytes of data. So if you are passionate about data and its analysis using Visualizations then you will love working in this team.
The BI Engineer will work closely with various functional groups on projects involving data discovery, assessing data samples, massaging and preparing data for hypothesis testing and machine learning algorithms.
This role has the overall responsibility for establishing and evangelizing BI and data visualization services in support of analysts and data scientists with Data and Analytics org. The BI Engineer plays a critical role in enabling the ability to bring order and insight to the data. This role reports directly to the Senior Director of Enterprise Analytics.
Responsibilities:
Design, build and maintain dashboards and interactive reports in Tableau Cloud, Tableau Next and Salesforce Einstein Analytics.
Partner with enterprise analysts, engineering and other stakeholders to understand business use case needs for insights & analytics.
Help architect, develop, validate and communicate BI solutions such as reports, dashboards, KPIs and alerts.
Document standards and procedures for best practices for visual intelligence design & development.
Able to identify data gaps, improve quality of data and integrate data from several data sources to perform in-depth analysis for product insights.
Translate numbers, trends and data to consumable insights - both explanatory and exploratory.
Job Requirements:
A related technical degree required.
1-2 years of Data Visualization experience using Tableau and similar tools.
2 years of experience using Big data technologies like Hadoop, Pig, Hive, HBase, Spark.
Expert knowledge of Oracle SQL and Nosql tools for data analysis, report development and performance tuning.
Ability to quickly learn and gain a deep understanding of SFDC business processes.
Ability to perform thorough analysis of complex data, draw sound conclusions, and devise actionable strategies.
Expert in the visual representation of complex information for driving business impact.
Subject Matter Expert and Evangelist on enterprise data, visualization, data analysis, data modeling, SQL constructs and workload management.
Creative mind, strong passion for User Experience.
Translate concepts into user flows, wireframes, mockups and prototypes that lead to intuitive user experiences.
Detail oriented with proven analytical, problem identification and resolution skills.
Ability to work effectively in an unstructured and fast-paced environment, and have a high degree of self-management with clear communication and commitment to delivery timelines.
Proven interpersonal, communication and presentation skills – must be able to explain technical concepts and analysis implications clearly to a wide audience.
Experience in the use of open source software.
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Responsibilities:
Establish close working relationships with other Security teams, Infrastructure Operations, and Product Management teams
Participate in ongoing technology evaluations and keep up with technology trends and industry standards
Operate as a technical expert on infrastructure projects pertaining to Entra ID, Active Directory, AD Audit tools and certificates, Monitoring and Logging, Systems Management, Capacity Planning, and DR
Perform infrastructure service implementations, performance analysis and optimization, monitoring, problem resolution, upgrade planning and execution, and process creation and documentation
Large enterprise Domain consolidation and decommission experience from acquisitions
Automation and CI/CD is a must. Powershell, Python and GoLang are preferred scripting languages
Continually analyze and work to improve the quality of services offered by Corporate IT
Ensure new Directory Service technologies are adequately tested and integrated with Infrastructure and Application Services
Optimize or re-design existing infrastructure services as needed
Ensure service availability & reliability of all infrastructure services
Test lab development
Suggest improvements based on technology, best practices, or changing requirements
Provide regular management updates on advantages and potential opportunities for new technologies and automation
Assist Infrastructure Operations with testing & implementation of new technologies and/or services including methods, policies and procedures for installation, management, monitoring and support
Work with and manage outside consulting technical subject matter experts, as needed
Help resolve complex IT issues in a Tier 3 capacity
Train/Mentor junior staff members as appropriate
Required Skills/Experience:
Bachelor's Degree, preferably in Computer Science or related field
7+ years of design/support of Enterprise environments with over 50,000+ users
Demonstrated ability to think and execute long-term and big-picture in an environment with a short-term focus.
5+ years experience as a Domain Administrator with large Microsoft Active Directory: Designing, Implementing, Maintaining, Troubleshooting
7+ years experience as a Global Administrator with large Microsoft Entra ID (Azure AD): Designing, Implementing, Maintaining, Troubleshooting
7+ years of enterprise security experience
7+ years of experience working with Windows Server environments
5+ years of PowerShell and other scripting language experience
5+ years experience an an Identity organization
Deep knowledge of Authentication and AD Security
Python software development experience
Object-oriented programming
Proficiency in DNS, PKI, LDAP
Directory integration with 3rd Party Applications and hosted services
Experience with mission-critical services and applications in a global enterprise environment
Customer service oriented with strong interpersonal and leadership skills
Strong analytical skills coupled with technical creativity and vision
DesiredSkills/Experience:
Experience with Okta and other IDPs
Experience with AWS
Experience with the VMware Platform
Experience with Agile Development Methodology
Experience with SAAS and PAAS applications
Experience with Terraform Configuration Management
Experience managing large-scale cloud infrastructure hosted on multiple OS platforms
One or more industry certifications (eg, MCSE)
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Software EngineeringJob Details
Job Duties: Architecting and building data engineering infrastructure on AWS, utilizing services such as Airflow, EMR, ECS, S3, Glue, and others. Implement and manage data orchestration workflows using Apache Airflow to schedule, monitor, and optimize data processing tasks. Enhancing dbt (data build tool) functionality to integrate with the cloud data platform through custom utilities, improving CI/CD processes. Advocate for metadata-driven design principles to improve data lineage, documentation, and governance. Monitor and optimize data pipelines for efficiency, scalability, and cost-effectiveness, employing abstract class methodology to ensure platform performance. Security and compliance are critical, requiring adherence to data encryption, access controls, and auditing standards. Collaboration with data engineers, scientists, analysts, and other stakeholders is necessary to understand data requirements and deliver tailored solutions. Maintaining comprehensive documentation of data engineering processes, pipelines, and architecture is also essential.
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Systems Engineering, Computer Science, Engineering (any field) or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in a related field.
A related technical degree required (Systems Engineering, Computer Science, Engineering (any field)).
Special Skill Requirements: (1) Python; (2) Apache Airflow and MWAA; (3) AWS services (VPC, EC2, Lambda, S3, or Glue); (4) Terraform; (5) PySpark; (6) React; (7) C++; (8) SQL; (9) Metadata-driven design; (10) Object-Oriented Programming (OOP); (11) CI/CD (GitHub Actions or Jenkins); (12) Data governance (RBAC); (13) Data modeling (dbt or Snowflake); (14) Query optimization. Any suitable combination of education, training and/or experience is acceptable.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
If you require assistance due to a disability applying for open positions please submit a request via this
Posting Statement
These jobs might be a good fit