Tech Prescient
https://techprescient.comAbout
Tech Prescient delivers cutting-edge software product development and technology services, with a core focus on Identity and Data solutions for modern enterprises.
At the forefront of Digital Engineering and Enterprise Modernization, we accelerate innovation with our AI powered platforms, Identity Confluence and Data Confluence.
With deep technical expertise and domain insight, we help enterprises unlock smarter, faster, and more secure outcomes built for what's next.
Our vision is to be the most reliable and trusted technology partner for our customers. We aspire to be a globally admired company in our category and be recognized for speed of execution, quality of deliverables and high customer satisfaction.
We partner with our clients at all stages including ideation, design, development, testing, deployment, and support.
Tech stack
NodeJS (Node.js)
Angular (2+)
Python
Django
Flask
React.js
Java
Spring Boot
Amazon Web Services (AWS)Candid answers by the company
We have core expertise in the following areas:
- Identity Lifecycle Management: Automate & secure your Identity Lifecycle by streamlining user access management from onboarding to off-boarding with intelligent, compliant, and automated lifecycle solutions.
- Software Product Engineering: Build AI integrated Products using Industry best practices. Product Design, Development and Deployment in no time leveraging our expertise and ready accelerators to efficiently build, deploy and scale software products.
- Data, AI & Analytics: Scalable Data Engineering for the AI Era. Seamless data pipelines, intelligent automation, and limitless scalability—powering your business with next-gen data solutions.
- Cloud and Infrastructure: Building and deploying Secured and Scalable multi-tenant or hybrid applications and products ‘born in the cloud’. Expertise in hosting infrastructures and AWS in particular with a thorough understanding of AWS Cloud Services and DevOps processes with considerations to Security, access controls, and Authentication protocols.
- Enterprise Integration: More than 150 configurable connectors, Data transformation, data processing, data quality, Integration Strategy and Advisory, Managed Integration Service
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Jobs at Tech Prescient
Digital and Web Analytics Engineer
Location- Remote
Experience Range- 5-8 years
Job Type- Contractual role for 1 year
Desired Skills- Adobe Customer Journey Analytics, Adobe Analytics, Adobe Launch, Adobe Target, Google Analytics, Google Tag Manager, Tealium, Snowplow. Strong programming skills in JavaScript, HTML/CSS, Python, SQL
Required Skills & Experience -
● Proven expertise (5+ years) implementing and managing large-scale web analytics using tools such as: Adobe Customer Journey Analytics, Adobe Analytics, Adobe Launch,
Adobe Target, Google Analytics, Google Tag Manager, Tealium, Snowplow, etc.
● Expertise in Adobe Analytics -> Adobe Customer Journey Analytics Migrations, and migration from app measurement framework to Web SDK
● Working knowledge of:
● Adobe Launch (Tag Management)
● Adobe Analytics & Customer Journey Analytics
● Major advertising platforms: Google, Facebook, LinkedIn, Epsilon
● Experience integrating and supporting MarTech/ad-tech platforms (6sense, Adobe Target, etc.), and rapidly onboarding new vendor solutions.
● Demonstrable ability to build and maintain dashboards/reports in Adobe Analytics, Adobe CJA and Tableau.
● Strong experience with hit-level querying in Adobe Customer Journey Analytics and customer-level data analysis.
● Hands-on experience with Event Driven DataLayer development (with and without tag management).
● Experience with tag deployment based on consent frameworks, specifically OneTrust.
● Strong analytical, project management, and written/verbal communication skills
● Strong programming skills in JavaScript, HTML/CSS, Python, SQL
● Familiarity with HTML, variable mapping, cookies, server call types, link tracking, identity management, packet sniffing.
● Ability and willingness to work independently across all phases of the analyticsimplementation lifecycle.
● Ability to work within an Agile development framework and communicate across non-technical and technical stakeholder groupsRoles and Responsibility -
● Support demand generation teams with new reporting and third-party tracking requests (across media vendors such as Google, Facebook, LinkedIn, Epsilon, etc.).
● Implement and update Adobe CJA and Analytics/tracking scripts, variables, and integrations using Adobe Launch, ensuring accurate mapping, server call types, cookies, dataLayers, and identity management across web properties.
● Quickly onboard and integrate new ad-tech and third-party vendors (e.g., 6sense, Adobe Target, LinkedIn, Facebook, Google, etc.).
● Develop and maintain dashboards and reports in Adobe Analytics and Tableau to provide actionable insights for marketing stakeholders.
● Monitor and ensure data accuracy and integrity across our analytics platforms via ongoing QA, automation scripts, and outage detection.
● Support end-to-end QA cycles: completing user acceptance testing (UAT), validating data integrity, and confirming reporting accuracy on new and updated implementations.
● Conduct ad-hoc analyses (in Adobe CJA, Adobe Target, Adobe Analytics, Snowflake, and Tableau) to support marketing and product teams.
● Maintain integration with OneTrust to ensure analytics tags are deployed only after proper visitor consent is granted.
● Advise on data privacy best practices: Stay up-to-date with GDPR/privacy regulation changes and ensure ongoing compliance.
● Collaborate within an Agile framework and communicate cross-functionally with teams across the enterprise.
Digital and Web Analytics Engineer
Location- Remote
Experience Range- 5-8 years
Job Type- Contractual role for 1 year
Desired Skills- Adobe Customer Journey Analytics, Adobe Analytics, Adobe Launch, Adobe Target, Google Analytics, Google Tag Manager, Tealium, Snowplow. Strong programming skills in JavaScript, HTML/CSS, Python, SQL
Required Skills & Experience -
● Proven expertise (5+ years) implementing and managing large-scale web analytics using tools such as: Adobe Customer Journey Analytics, Adobe Analytics, Adobe Launch,
Adobe Target, Google Analytics, Google Tag Manager, Tealium, Snowplow, etc.
● Expertise in Adobe Analytics -> Adobe Customer Journey Analytics Migrations, and migration from app measurement framework to Web SDK
● Working knowledge of:
● Adobe Launch (Tag Management)
● Adobe Analytics & Customer Journey Analytics
● Major advertising platforms: Google, Facebook, LinkedIn, Epsilon
● Experience integrating and supporting MarTech/ad-tech platforms (6sense, Adobe Target, etc.), and rapidly onboarding new vendor solutions.
● Demonstrable ability to build and maintain dashboards/reports in Adobe Analytics, Adobe CJA and Tableau.
● Strong experience with hit-level querying in Adobe Customer Journey Analytics and customer-level data analysis.
● Hands-on experience with Event Driven DataLayer development (with and without tag management).
● Experience with tag deployment based on consent frameworks, specifically OneTrust.
● Strong analytical, project management, and written/verbal communication skills
● Strong programming skills in JavaScript, HTML/CSS, Python, SQL
● Familiarity with HTML, variable mapping, cookies, server call types, link tracking, identity management, packet sniffing.
● Ability and willingness to work independently across all phases of the analyticsimplementation lifecycle.
● Ability to work within an Agile development framework and communicate across non-technical and technical stakeholder groupsRoles and Responsibility -
● Support demand generation teams with new reporting and third-party tracking requests (across media vendors such as Google, Facebook, LinkedIn, Epsilon, etc.).
● Implement and update Adobe CJA and Analytics/tracking scripts, variables, and integrations using Adobe Launch, ensuring accurate mapping, server call types, cookies, dataLayers, and identity management across web properties.
● Quickly onboard and integrate new ad-tech and third-party vendors (e.g., 6sense, Adobe Target, LinkedIn, Facebook, Google, etc.).
● Develop and maintain dashboards and reports in Adobe Analytics and Tableau to provide actionable insights for marketing stakeholders.
● Monitor and ensure data accuracy and integrity across our analytics platforms via ongoing QA, automation scripts, and outage detection.
● Support end-to-end QA cycles: completing user acceptance testing (UAT), validating data integrity, and confirming reporting accuracy on new and updated implementations.
● Conduct ad-hoc analyses (in Adobe CJA, Adobe Target, Adobe Analytics, Snowflake, and Tableau) to support marketing and product teams.
● Maintain integration with OneTrust to ensure analytics tags are deployed only after proper visitor consent is granted.
● Advise on data privacy best practices: Stay up-to-date with GDPR/privacy regulation changes and ensure ongoing compliance.
● Collaborate within an Agile framework and communicate cross-functionally with teams across the enterprise.
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