Job Title: Cloudera Hadoop Administrator Location: Hyderabad Experience: 2yrs to 4+ years Employment Type: Full Time Job Summary: We are looking for a proactive and technically strong Hadoop Administrator who has hands-on experience working with Red Hat Linux systems, basic automation through Bash scripting, and foundational exposure to Hadoop and Cloudera platforms. The ideal candidate has been involved in real-time system recovery, automation, and training initiatives and is eager to expand their skills in Linux system administration and Big Data platforms. Key Responsibilities: Administered and managed Red Hat Enterprise Linux (RHEL 7/8) servers to ensure system stability, performance, and security.Automated daily operational tasks using Bash scripting, enhancing system efficiency and reducing manual work.Contributed to backup and disaster recovery strategies for critical enterprise systems.Played a key role in recovering a business-critical application (RMA) from disaster with minimal downtime.Delivered internal training on Linux administration, shell scripting, Logical Volume Management (LVM), and Hadoop basics to junior engineers.Participated in Hadoop administration as part of an insourcing project within the organization.Gained hands-on experience installing and maintaining Cloudera CDP Private Cloud Base clusters under guidance, supporting cluster performance, security, and reliability.Assisted in implementing security practices using Apache Ranger, Kerberos, and Apache Atlas. Technical Skills: Operating Systems: Red Hat Enterprise Linux 7/8Scripting: Bash (automation, disk usage monitoring, LVM setup)Big Data Tools: Cloudera CDP, Hadoop basics (HDFS, Hive, Spark, Impala)

Role: Bench Sales IT Recruiter | Location: Hyderabad, IndiaShift Timings: 05:30 PM – 02:30 AM IST (Night Shift)Experience: 1–3 years Job description We are looking for a dynamic and self-driven Bench Sales Recruiter to join our growing team in Hyderabad. The ideal candidate will be responsible for marketing our bench consultants (H1B, GC, CPT, OPT, and US Citizens), maintaining relationships with vendors and clients, and proactively identifying new business opportunities by aligning consultants with matching job requirements. Responsibilities:Actively market bench consultants to Tier 1 vendors and direct clients.Share consultant hotlists regularly with vendors and partners via email or job portals.Post consultants’ profiles on job boards like Dice, Monster, TechFetch, and LinkedIn.Screen and evaluate job requirements received from clients and vendors.Submit qualified consultant profiles against open requirements and follow up for feedback/interviews.Negotiate rates and terms with vendors/clients.Maintain relationships with consultants during and after the placement process.Maintain a database of vendors and requirements for quick reference and faster submissions.Ensure timely updates and status reporting to internal stakeholders. Qualifications: 1+ year of experience in Bench Sales (preferred), especially in US IT staffing.Excellent communication and interpersonal skills.Good understanding of various work authorizations and visa types.Proficient with job portals like Dice, Monster, and TechFetch.Must be highly motivated, result-oriented, and target-driven.Ability to work independently with minimal supervision in a fast-paced environment.Preferred Skills:Existing network of vendors and Tier 1 clients.Prior experience working with OPT/CPT candidates.Knowledge of latest technology trends and IT skills.Perks and Benefits:Attractive incentive structure based on performance.Friendly and growth-oriented work culture.Opportunity to work with a dynamic and experienced team.

Location: Hyderabad Role: Permanent Mode: WFO JOB RESPONSIBILITIES: Tracks the various Machine learning projects and their data needs. Tracks and improves Kanban process of product maintenance Drives complex technical discussions both within company and outside data partners Actively Contributes to the design of machine learning solutions by having a deep understanding of how the data is used and how new sources of data can be introduced Advocates for investments in tools and technologies to streamline data workflows and reduce technical debt Continuously explores and adopts emerging technologies and methodologies in data engineering and machine learning Develops and maintains scalable data pipelines to support machine learning models and analytics Collaborates with data scientists to ensure efficient data processing and model deployment Ensures data quality, integrity, and security across all stages of the data pipeline Implements monitoring and alerting systems to detect anomalies in data processing and model performance Enhances data versioning, data lineage, and reproducibility practices to improve model transparency and auditing . QUALIFICATION 5+ years of experience in data engineering or related fields, with a strong focus on building scalable data pipelines to support machine learning workflows. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or other relevant fields. Specific experience in Kafka needed . Snowflake and data bricks would be huge plus. Proven expertise in designing, implementing, and maintaining large-scale, high-performance data architectures and ETL processes managing 1TB a day. Strong knowledge of database management systems (SQL and NoSQL), distributed data processing (e.g., Hadoop, Spark), and cloud platforms (AWS, GCP, Azure). Experience working closely with data scientists and machine learning engineers to optimize data flows for model training and real-time inference with latency requirements. Hands-on experience with data wrangling, data preprocessing, and feature engineering to ensure clean, high-quality data for machine learning models. Solid understanding of data governance, security protocols, and compliance requirements (e.g., GDPR, HIPAA) to ensure data privacy and integrity. Preferred Experience in data pipelines and analytics for video-game development Experience in Advertising industry Experience in online businesses where transactions happen without human intervention. Show more Show less

LEAD DATA ENGINEER Location: Hyderabad Role: Permanent Mode: WFO JOB RESPONSIBILITIES: Tracks the various Machine learning projects and their data needs. Tracks and improves Kanban process of product maintenance Drives complex technical discussions both within company and outside data partners Actively Contributes to the design of machine learning solutions by having a deep understanding of how the data is used and how new sources of data can be introduced Advocates for investments in tools and technologies to streamline data workflows and reduce technical debt Continuously explores and adopts emerging technologies and methodologies in data engineering and machine learning Develops and maintains scalable data pipelines to support machine learning models and analytics Collaborates with data scientists to ensure efficient data processing and model deployment Ensures data quality, integrity, and security across all stages of the data pipeline Implements monitoring and alerting systems to detect anomalies in data processing and model performance Enhances data versioning, data lineage, and reproducibility practices to improve model transparency and auditing . QUALIFICATION 5+ years of experience in data engineering or related fields, with a strong focus on building scalable data pipelines to support machine learning workflows. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or other relevant fields. Specific experience in Kafka needed . Snowflake and data bricks would be huge plus. Proven expertise in designing, implementing, and maintaining large-scale, high-performance data architectures and ETL processes managing 1TB a day. Strong knowledge of database management systems (SQL and NoSQL), distributed data processing (e.g., Hadoop, Spark), and cloud platforms (AWS, GCP, Azure). Experience working closely with data scientists and machine learning engineers to optimize data flows for model training and real-time inference with latency requirements. Hands-on experience with data wrangling, data preprocessing, and feature engineering to ensure clean, high-quality data for machine learning models. Solid understanding of data governance, security protocols, and compliance requirements (e.g., GDPR, HIPAA) to ensure data privacy and integrity. Preferred Experience in data pipelines and analytics for video-game development Experience in Advertising industry Experience in online businesses where transactions happen without human intervention. Show more Show less

Role: Business Analyst Location : Hyderabad Job description We’re scaling multiple AI-first products where requirements can evolve rapidly. You’ll be the critical bridge between visionary ideas and shippable solutions—using next-gen tools (Gemini, ChatGPT, Figma AI, etc.) to turn stakeholder intent into crystal-clear proposals, user journeys, and wireframes that keep engineering, design, and business teams perfectly aligned. Key Responsibilities: What you'll do 40 % Requirements & Discovery - Conduct stakeholder interviews, workshops, and data analysis to surface user and business needs. - Translate fuzzy or high-level ideas into structured epics, user stories, acceptance criteria, and measurable KPIs. 25 % AI-Accelerated Solution Design - Use Gemini or ChatGPT to co-generate functional specs, low-/mid-fidelity wireframes, and interactive user flows. - Rapidly iterate on mock-ups in Figma/Miro/FigJam, employing AI plugins for copy, component suggestions, and accessibility checks. 15 % Proposal Writing & Alignment - Craft persuasive, visually engaging proposals (business cases, SOWs, RFP responses) that balance technical feasibility with commercial impact. - Present recommendations to C-level stakeholders, adapting language for both technical and non-technical audiences. 10 % Backlog & Agile Delivery Support - Groom and prioritize the product backlog in collaboration with Product Owners. - Facilitate sprint planning, reviews, and retrospectives, ensuring continuous feedback loops. 10 % Insights & Continuous Improvement - Monitor post-launch metrics; recommend optimizations grounded in data and customer feedback. - Champion the adoption of emerging AI productivity tools across the product organization. Qualifications: 4–6 years as a Business Analyst or Product Analyst delivering web or SaaS products. Demonstrated expertise converting requirements into wireframes/prototypes (Figma, Balsamiq, Adobe XD, or similar). Hands-on experience with LLM-powered tools (Gemini, ChatGPT, Claude, etc.) for ideation, documentation, or design acceleration. Strong grasp of Agile/Scrum methodologies, backlog management, and user-story mapping. Excellent written & verbal communication skills in English; able to simplify complex concepts. Comfort with SQL or basic data-query tools to validate assumptions and define KPIs.