Mandatory skill- Azure Databricks, Datafactory, Pyspark, SQL Experience- 5 to 8 years Location- Remote Key Responsibilities: Design and build data pipelines and ETL/ELT workflows using Azure Databricks and Azure Data Factory Ingest, clean, transform, and process large datasets from diverse sources (structured and unstructured) Implement Delta Lake solutions and optimize Spark jobs for performance and reliability Integrate Azure Databricks with other Azure services including Data Lake Storage, Synapse Analytics, and Event Hubs
Location: Remote Exp: 5+ Years NP: Immediate Job Overview: We are looking for a Senior Google Analytics Developer to provide ongoing support and maintenance for our Google Analytics infrastructure (primarily GA4). This role will ensure reliable data tracking, troubleshoot analytics issues, manage stakeholder requests, and optimize tagging infrastructure using Google Tag Manager and GA4 . This is a support-focused role – ideal for someone who excels in debugging, QA, stakeholder communication, and data accuracy across existing analytics implementations. Key Responsibilities: Provide technical support and troubleshooting for Google Analytics 4 and Google Tag Manager setups across multiple websites and apps. Monitor data accuracy and resolve discrepancies, missing events, and tracking issues . Respond to internal stakeholder requests for data validation, new tag deployments, or reporting issues . Manage and update GTM containers , including modifying or creating triggers, tags, and variables. Validate tracking against technical documentation and business requirements. Work closely with developers to troubleshoot data layer issues and implement required changes. Collaborate with marketing and product teams to support campaign tracking and conversion analysis. Perform regular audits and QA testing of analytics setups. Support integration of GA4 with tools like Looker Studio , BigQuery , Google Ads , etc. Maintain clear and up-to-date documentation for tags, data layers, and tracking configurations. Required Skills & Experience: 4+ years of hands-on experience with Google Analytics (including GA4) and Google Tag Manager . Strong ability to diagnose and fix tracking issues quickly and effectively. Experience working with data layers and debugging tools (e.g., GA Debugger, Tag Assistant, Chrome DevTools). Good understanding of JavaScript and browser behavior related to tracking. Experience working in support/ticketing environments (e.g., Jira, ServiceNow, Zendesk). Strong attention to detail and commitment to data accuracy and integrity . Effective communication skills for interacting with technical and non-technical stakeholders. Nice to Have: Google Analytics / GTM Certifications Experience with Consent Management Platforms (CMPs) and privacy-compliant tracking (GDPR, CCPA) Familiarity with A/B testing tools like Google Optimize, Optimizely, or VWO Knowledge of Firebase Analytics (for mobile apps)
Skills: Angular/React, Java (SpringBoot), Relational or Graph Database Location:Remote Exp: 5+ Years Responsibilities: Develop backend APIs in Java to serve data to frontend applications. Assist in implementing responsive UI components in Angular/React etc. for data visualization and user interaction. Write SQL queries and work with relational databases to retrieve and display data insights. Collaborate with product owners and senior developers to understand data and analytics ecosystem and business logic. Participate in code reviews, agile ceremonies, and technical learning sessions. Requirements: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field. Academic or project experience with Java and Angular/React. Basic knowledge of SQL and/or Graph databases and working with structured data. Understanding of RESTful API concepts. Passion for learning about data and building tools that make data accessible. Strong problem-solving and collaboration skills. Nice to Have: Exposure to data visualization libraries (e.g., D3.js, Chart.js). Familiarity with tools like Tableau, Power BI, Qlik Sense etc. Understanding of basic data analytics concepts (ETL, KPIs, metrics).