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Greetings!!

We are hiring for TAM ( Technical Account Manager)  and please find the below details :

CADeploy Engineering Pvt.Ltd (http://www.cadeploy.com/"> www.cadeploy.com ) To give a brief introduction about my Company, we are an emerging MNC Engineering firm with a footprint, serving mid-market and large Organizations in the USA,CANADA,Europe and UK. We provide Mechanical, Civil, Architectural and Structural Engineering solutions in Building Construction, Industrial, Infrastructure, Automotive and Aerospace sectors.

Visit our website http://www.cadeploy.com/">www.cadeploy.com for further details

Job Location : Hyderabad

Shift : Fixed Night Shift

The TAM manages an assigned client base, both engaged and prospective, by acting as a technical and consultative resource that coordinates with other departments within CADeploy to facilitate client needs.  The TAM ensures the highest level of client satisfaction through identification of specific requirements, transcribing these into clear communication and follow-through on commitments.    The general purpose is to maintain healthy relationships and project performance through continual pulse monitoring with the client.  This will include checks on service delivery performance, recognition of special requirements, flagging of risk perceptions, etc.  The objective is to build and maintain a strong working affiliation for continuity of account while guiding the technical and managerial execution for efficiency and effectiveness.  This role is essential to the growth plan of CADeploy as a foundation to its brand recognition for quality performance.

The TAM will be expected to generally execute on the following across an assigned client base:

• Serve as an important point of contact for key clients as well as all internal stakeholders.
• Develop and nurture strong client relationships through top level customer service.
• Know and document client requirements and concerns, understand the details of their business processes and ensure that CADeploy will appropriately meet their evolving needs.
• Provide excellent, regular client communications and responsive, consistent follow-through on all issues and actions.
• Coordinate and assist with the roll-out of CADeploy’s services offering to new clients as required.
• Drive strategic planning and development of improvements and work.
• Handle client requests and assist in the development of quotations/proposals ensuring that CADeploy’s standards are enforced uniformly.
• Facilitate internal project hand-offs to verify that the work performed is complete and meets the client’s, as well as, CADeploy’s standards.
• Provide customized, end-user (staff) communications for all new clients engaged, ensuring a seamless and successful deployment of CADeploy’s services to their specific standards.
• Act as an escalation point for technical and client service issues as necessary.
• Work with the PMO and delivery team to direct troubleshooting efforts on escalated issues as needed.

Regards,

Bhavani

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Job Description:

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications.

Key Responsibilities

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and API's
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Requirements

• B.Tech Computer Science, Engineering or a related subject
• 4+ years of software development experience
• Have published at least one original Android app
• Experience with Android SDK
• Should have minimum 1 year of experience in React Native 
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.

Location: Hyderabad, Telangana

Job Type: Full-time onsite

Experience: Minimum 2 years

Salary Range: INR 2,00,000 - 4,00,000 per annum

Job Description: We are seeking a creative and experienced Social Media Content Creator to join our growing team. As a Social Media Content Creator at Dot eVentures Pvt. Ltd., you will play a key role in developing and implementing our social media strategy. You will be responsible for creating engaging and informative content that resonates with our target audience and promotes our educational products and services.

Key Responsibilities:

Develop and implement a comprehensive social media strategy to increase brand awareness and engagement. Create high-quality, visually appealing content for various social media platforms, including but not limited to Instagram, Facebook, Twitter, and LinkedIn. Stay up-to-date with industry trends and incorporate best practices into content creation. Monitor social media channels for trends, feedback, and opportunities to engage with the audience. Analyze social media metrics to measure the success of campaigns and make data-driven recommendations for improvement.

Qualifications:

Minimum 2 years of experience in social media content creation, preferably in the education or edutech industry. Proven track record of creating engaging and shareable content across various social media platforms. Strong written and verbal communication skills. Proficiency in graphic design tools and video editing software is a plus. Familiarity with social media analytics and the ability to interpret data to inform content strategy.

Salary and Benefits:

Competitive salary in the range of INR 2,00,000 - 4,00,000 per annum, commensurate with experience. Opportunities for professional development and growth within a rapidly expanding startup. Collaborative and inclusive work environment.

We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.

We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.

Responsibilities:

• Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
• Manage and maintain Kubernetes clusters on EKS and EC2 instances
• Implement and maintain automated CI/CD pipelines for microservices
• Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
• Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
• Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
• Implement backup and disaster recovery solutions for our microservices and databases
• Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
• Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
• Experience with large scale system design and scaling services is highly desirable

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• At least 5 years of experience in AWS DevOps and infrastructure engineering
• Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
• Experience with SOC2 compliance and vulnerability assessment best practices for microservices
• Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
• Strong scripting skills in languages like Python, Bash, and Go
• Excellent communication skills and the ability to work in a collaborative team environment
• Experience with agile development methodologies and DevOps practices
• AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.

Notice period : Can join within a month

Job Description:

Candidate should ideally be a B.E/B.Tech graduate with around 3 to 5 years of experience, with core T-SQL scripting , performance tuning, SSIS, NOSQL skills. The current role requires a core T-SQL , NoSQL and SSIS developer. The SQL Developer will be responsible for:

• Creating & designing database and all database objects such as tables, views, StoredProcedures, functions etc.
• Writing and troubleshooting simple to complex SQL scripts, stored procedures, views, functions, etc. as per the requirement.
• Troubleshooting and fixing all performance issues with respect to databases (objects & scripts).
• SQL Query tuning and performance tuning.
• Develop/migrate existing scripts to SSIS.
• Maintaining referential integrity, domain integrity and column integrity by using the available options such as constraints, etc.
• Maintaining database objects (like tables, views,Stored Procedures) performance by following the tuning tips like normalization, indexes, etc.
• Importing and exporting the data from different sources using tools, writing required scripts.
• Works closely with other members of the team to accomplish the projects.
• Assists project teams to design and develop core business components utilizing  industry-accepted analysis and design standards.
• Provides and/or assists with, project management and project leadership.
• Create and maintain documentation for all the projects.
• Working with NOSQL databases (Mostly on MongoDB) .

PRIMARY SKILLS: 

TSQL, SQL, NoSQL, Performance Tuning, SSIS, Import & Export of data from different data sources and from different formats.

SECONDARY SKILLS:

Database Administration

REQUIRED SKILLS:

• 3+ years of professional experience in working with MSSQL Server 2008 and above.
• 3+ years of professional experience in writing TSQL scripts.
• Thorough experience in SQL query tuning and performance tuning.
• Experience in developing and maintaining SSIS packages.
• Experience in working with NoSQL databases. MongoDB would be preferable.
• Fluent knowledge of MSSQL server DBA.
• Should be a good team player and should possess good attitude and work ethics.
• Should possess excellent communication and written skills.

PREFERRED SKILLS:

• MSSQL DBA.
• SSIS.
• NOSQL, MongoDB

Job Location: Pune/Bangalore/ Hyderabad/ Indore

• Very good knowledge of MuleSoft components.
• Prior work experience in setting up a COE using MuleSoft Integration Software.
• Good understanding of various integration patterns.
• Ability to deliver projects independently with little or no supervision.
• Previous experience working in a multi-geographic team.
• Previous experience with best programming practices.
• Good written and oral communication skills – English.

• M. Com with 4 / 5 years of experience,
• CA Inter with 3 to 5 years of experience,
• preferably in MIS reporting, Monthly closing of Books of Account, preparation of P&L, Balance Sheet, Schedules, etc.
• Working knowledge in SAP preferable