The purpose of this role is to execute data processing for our clients. This role is able to understand the input file requirements and output file requirements, along with data processing capabilities. The end result is a role that delivers data processing results for our clients. Job Description • Preferred candidate profile 1+years of experience working with UNCLE, Q, Dimension, SPSS syntax or similar data processing software. Experience working with data for large, multi-market complex projects • Experience in data processing including weighting, stacking and sig testing, with good understanding of industry best practices • • Should be able to perform extensive quality checks and data validation to ensure accuracy. Role & responsibilities Coordinate with internal project managers / client services team members to finalize materials (data processing spec forms); provide guidance on tool functionality and solutions. • • Develop and maintain data processing workflows and documentation. • Microsoft Excel skills required with VBA macro writing experience/knowledge a plus Should be comfortable to work in night shifts rotational, 24/7 operational support and working on weekends - Roaster • Client-focused with strong consulting, communication, and collaboration skills. Emotionally intelligent, adept at conflict resolution, and thrives in high-pressure, fast-paced environments. Demonstrates ownership, problem-solving ability, and effective multitasking and prioritization. Perks Good hike on current CTC Insurance Sat-sun off Hybrid

Role & responsibilities Minimum 10 to 14 years of experience Proven experience in managing, leading and mentoring a team of test engineers as well as team leads. Developing test plans, implementing test processes, recording results, and publishing to stakeholders. Strong expertise in defining test strategy, establishing optimal test patterns, implementing key quality metrics and reporting and publishing those metrics across various stakeholders. Knowledge of core testing concepts like Shift-Left strategy, Test Pyramid, TDD/BDD etc. Strong Experience with automation tools such as Selenium or Playwright. Strong Experience with automation framework like Codecept.js or Serenity BDD or Cucumber. Experience on non-functional tests like performance/load/volume testing by using tools like JMeter

Job Description Key Responsibilities: 1. Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: - Bachelors or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray).

As a Team Lead you will oversee a team of 1012 Account Managers, ensuring high-quality campaign execution and seller satisfaction. Your role includes driving team performance, seller retention, and media spend growth. Key Responsibilities Lead a team of 1012 Account Managers to deliver high-quality campaign execution and seller satisfaction. Own the team’s performance, seller retention, SLA adherence, and media spend growth. Conduct daily huddles and weekly reviews to help AMs prioritize accounts and actions. Hire, mentor, train, and coach AMs to ensure consistent performance and high motivation. Monitor call quality, follow-ups, and disposition tagging via dashboards and reports. Ensure all SLAs (callbacks, follow-ups, renewals) are tracked and met. Collaborate with tech and ops teams to identify process improvement and automation opportunities. Comfortable with a fixed 9-hour shift and occasional peak-time flexibility. Qualifications 3–5 years of experience in digital performance marketing with marketplace ads (Flipkart, Amazon, Meesho etc.). Experience managing customer-facing or seller success teams in an ad-tech environment. Strong analytical skills and ability to translate dashboards into actionable insights. Proven ability to grow seller accounts and meet revenue/media spend goals. Strong people management skills with a bias for action and hands-on coaching. Demonstrated experience in hiring and building high-performing teams. Experience working cross-functionally with tech, ops, and client-facing teams.

Key Responsibilities : Test Strategy and Planning : Define and implement the overall testing strategy, with a focus on scaling investigative QA approaches. Develop comprehensive testing approach and tooling aligned with project requirements and timelines. Standardize QA best practices for Snowflake Native Apps across teams. Monitor progress, and ensure timely delivery of testing milestones. Foster a culture of continuous improvement and innovation across QA teams. Testing and Quality Assurance : Conduct functional, regression, performance, and security testing to ensure software reliability and usability. Manage bug tracking and resolution processes using tools such as JIRA. Collaboration and Communication : Collaborate closely with development, product, DevOps and other QA teams to ensure alignment on quality goals and requirements. Participate in requirement reviews, design discussions, and sprint planning sessions to identify potential risks and dependencies. Provide regular updates on QA metrics, progress, and challenges to stakeholders. Qualifications and Certifications : Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Relevant certifications such as ISTQB, Certified Software Test Engineer (CSTE), or equivalent are highly desirable. Snowflake certifications Key Skills and Experience : Experience : 5+ years of SQL and database management 7+ years of experience in software testing and QA Proficiency in manual and automated testing techniques and platforms Expertise in QA methodologies, testing lifecycle (STLC), and Agile/Scrum processes. Strong knowledge of bug tracking tools (e.g., JIRA) test management tools (e.g., TestRail) and monitoring (e.g. Datadog) Hands-on experience with programming languages like Python or JavaScript Understanding of CI/CD pipelines and integration of testing into DevOps workflows. Familiarity with cloud-based testing environments Preferred Skills : Snowflake data or app developer Experience with API testing tools like Postman or SOAP UI. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Expertise in database testing using SQL Soft Skills : Strong analytical and problem-solving skills. Excellent communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Leadership abilities to motivate and guide the QA teams toward achieving quality goals.

Key Responsibilities Manage a portfolio of SME sellers running ads on a digital marketplace platform. Understand sellers business goals and recommend relevant marketplace ad solutions. Proactively provide performance updates and insights to improve campaign outcomes. Drive account retention and increase seller media spends based on performance insights. Maintain timely documentation, call notes, follow-up schedules, and CRM hygiene. Achieve daily/weekly/monthly targets for consultations, seller engagement, and media spend growth. Act as a single point of contact for all client communication, escalations, and renewals. Maintain a disciplined, organized approach to work and be comfortable with a fixed 9-hour shift. Qualifications 1–2 years of hands-on experience in digital/marketplace advertising (Flipkart, Amazon, or Meesho Ads preferred). Strong communication skills and ability to explain ad performance in simple terms to SME sellers. Ability to manage multiple client accounts with attention to detail and time sensitivity. Self-starter with a learning mindset, strong ownership and a customer-first attitude. Comfortable with campaign dashboards, Excel/Sheets, and CRM tools.

Role & responsibilities Key responsibilities: Plans and implements tests that cover the functional and non-functional requirements of the system Sets up test environments, designs test plans, develops test cases/scenarios/usage cases, and executes these cases Tests and proves that the software meets major architectural requirements Develops and automates tests for software validation Detects and track bugs and issues Prepares defect reports and report test progress Provides feedback on usability and serviceability, traces the result to quality risk and report it to concerned people Preferred candidate profile Must Have: Minimum 3 to 5 years of experience Ability to implement test plans, follow test process, and record results. Familiarity with software testing best practices including test standards, code reviews, test data management, test methods and test techniques. Good test automation skills toward writing test cases which cover functional, regression, integration, and end to end system testing. Experience in basic Java, Java-script, or Python. Experience with automation tools such as Selenium or Playwright or Cypress. Experience with automation framework like Codecept.js or Serenity BDD or Cucumber. Strong attention to detail and commitment to quality. Strong communication, collaboration skills and ability to solve problems. Should be able to provide reports to senior stakeholders. Perks and benefits Good hike on current CTC Insurance Hybrid work mode

We are seeking a strategic, client-focused, and results-driven Performance Marketing Manager to lead and manage key paid media accounts. The ideal candidate will be responsible for driving the performance marketing strategy, overseeing campaign delivery, and ensuring client satisfaction through continuous performance optimization and operational excellence. This role acts as the primary point of contact for clients and plays a critical role in account planning, execution, and growth. Role & responsibilities Strategy Development & Execution Campaign & Account Management Client Communication & Relationship Management Cross-Functional Collaboration Reporting & Insights Preferred candidate profile 3-5 years of hands-on experience in performance marketing with a strong background in Paid Search, Paid Social, and/or Programmatic. Proven track record of driving measurable results and successfully managing client accounts. Strong communication and client-facing skills with experience presenting to senior stakeholders. Expertise in tools such as Google Ads, Meta Ads Manager, Google Analytics, and campaign management platforms (e.g., SA360, DV360). Excellent problem-solving, analytical thinking, and project management abilities. Ability to mentor junior team members and coordinate cross-functional collaboration. Preferred Qualifications: Bachelor's degree in Marketing, Business, Communications, or a related field. Certifications in Google Ads, Meta Blueprint, or other media platforms. Prior experience in a media agency or digital consultancy Benefits Hybrid & Remote Work Flexibility Comprehensive Health & Insurance Plans Competitive Salary Hike Employee Wellness & Engagement Programs