Aditi Consulting
Payrate:
$70.00 - $75.00/Hour
Summary: We develop strategies and solutions to ingest, store, and distribute our big data. Our developers use Big Data technologies including (but not limited to) Hadoop, Pyspark, Hive, JSON, and SQL to develop products, tools and software features.
Key Responsibilities:
Salvo Adoption and Implementation:
This role is integral to the adoption and implementation of Salvo, our internal Python framework for targeting complex personalization campaigns. Develop and maintain a deep understanding of Salvo's functionalities and best practices. Develop targeting code in the Salvo framework.
Support Complex Personalization Campaigns:
Utilize Salvo to support targeting for complex personalization campaigns, ensuring precise and effective targeting strategies. Troubleshoot and resolve issues related to campaign targeting using Salvo.
Bridge Front-end and Backend Capabilities:
Work on accelerating the integration of Dart (front-end application) with Salvo's backend capabilities. Collaborate with development teams to ensure Dart is leveraging Salvo to its full potential and help map out gaps.
Stakeholder Partnership:
Work with key business stakeholders to provide support to stakeholders for their complex campaign targeting needs. Partner with key business stakeholders to understand their targeting strategies and translate these into suitable Salvo configurations.
Cross-functional Collaboration:
Work closely with teams managing the Dart capability roadmap to ensure alignment and synchronization of efforts. Participate in cross-functional meetings to stay updated on changes and updates that impact capability rollout in Dart.
Skillset Requirements:
4+ years proven ability of professional Data Development experience 3+ years proven ability of developing with Databricks or Hadoop/HDFS 3+ years of experience with PySpark/Spark 3+ years of experience with SQL 3+ years of experience developing with either Python, Java, or Scala Full understanding of ETL concepts and Data Warehousing concepts Experience with version control software Strong understanding of Agile Principles (Scrum) Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) Experience with Azure Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables Experience with Relational Data Modeling Experience with Structured Streaming (Spark or otherwise) Experience with GitHub SaaS / GitHub Actions Experience with Streamlit and/or Svelte App building is a plus Experience with CI/CD is a plus
Pay Transparency:
The typical base pay for this role across the U.S. is:
$70.00 - $75.00
per hour. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy).
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology including calls from an AI Voice Recruiter.
#AditiConsulting
$70.00 - $75.00/Hour
Summary: We develop strategies and solutions to ingest, store, and distribute our big data. Our developers use Big Data technologies including (but not limited to) Hadoop, Pyspark, Hive, JSON, and SQL to develop products, tools and software features.
Key Responsibilities:
Salvo Adoption and Implementation:
This role is integral to the adoption and implementation of Salvo, our internal Python framework for targeting complex personalization campaigns. Develop and maintain a deep understanding of Salvo's functionalities and best practices. Develop targeting code in the Salvo framework.
Support Complex Personalization Campaigns:
Utilize Salvo to support targeting for complex personalization campaigns, ensuring precise and effective targeting strategies. Troubleshoot and resolve issues related to campaign targeting using Salvo.
Bridge Front-end and Backend Capabilities:
Work on accelerating the integration of Dart (front-end application) with Salvo's backend capabilities. Collaborate with development teams to ensure Dart is leveraging Salvo to its full potential and help map out gaps.
Stakeholder Partnership:
Work with key business stakeholders to provide support to stakeholders for their complex campaign targeting needs. Partner with key business stakeholders to understand their targeting strategies and translate these into suitable Salvo configurations.
Cross-functional Collaboration:
Work closely with teams managing the Dart capability roadmap to ensure alignment and synchronization of efforts. Participate in cross-functional meetings to stay updated on changes and updates that impact capability rollout in Dart.
Skillset Requirements:
4+ years proven ability of professional Data Development experience 3+ years proven ability of developing with Databricks or Hadoop/HDFS 3+ years of experience with PySpark/Spark 3+ years of experience with SQL 3+ years of experience developing with either Python, Java, or Scala Full understanding of ETL concepts and Data Warehousing concepts Experience with version control software Strong understanding of Agile Principles (Scrum) Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) Experience with Azure Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables Experience with Relational Data Modeling Experience with Structured Streaming (Spark or otherwise) Experience with GitHub SaaS / GitHub Actions Experience with Streamlit and/or Svelte App building is a plus Experience with CI/CD is a plus
Pay Transparency:
The typical base pay for this role across the U.S. is:
$70.00 - $75.00
per hour. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy).
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology including calls from an AI Voice Recruiter.
#AditiConsulting