Qt,C++ Engineer

Qualifications:

• Proven experience in sales, preferably in a branding, marketing, or creative agency environment. Ideally 2-4 years
• Strong understanding of branding principles, design, and marketing strategies.
• Excellent communication and presentation skills.
• Results-driven with a track record of meeting or exceeding sales targets.
• Ability to build and maintain strong client relationships.
• Bachelor's degree in Business, Marketing, or a related field is preferred.

If interested kindly share your updated resume at 82008 31681

We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions. 

Responsibilities:

Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool) 

Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.

Develop data routes: You design scalable and powerful data management processes.

Analyze data: You derive sound findings from data sets and present them in an understandable way.

Requirements:

Requirements management and project experience: You successfully implement cloud-based data & analytics projects.

Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.

Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).

SQL know-how: You have a sound and solid knowledge of SQL.

Data management: You are familiar with topics such as master data management and data quality.

Bachelor's degree in computer science, or a related field.

Strong communication and collaboration abilities to work effectively in a team environment.

Skills & Requirements

Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes TVARIT one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

We are seeking a skilled and motivated senior Data Engineer from the manufacturing Industry with over four years of experience to join our team. The Senior Data Engineer will oversee the department’s data infrastructure, including developing a data model, integrating large amounts of data from different systems, building & enhancing a data lake-house & subsequent analytics environment, and writing scripts to facilitate data analysis. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives.

Skills Required:

• Experience in the manufacturing industry (metal industry is a plus)
• 4+ years of experience as a Data Engineer
• Experience in data cleaning & structuring and data manipulation
• Architect and optimize complex data pipelines, leading the design and implementation of scalable data infrastructure, and ensuring data quality and reliability at scale
• ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines.
• Python: Strong proficiency in Python programming for data manipulation, transformation, and automation.
• Experience in SQL and data structures
• Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache, and NoSQL databases.
• Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform.
• Proficient in data management and data governance
• Strong analytical experience & skills that can extract actionable insights from raw data to help improve the business.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Nice To Have:

• Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
• Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud.
• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field from top-tier Indian Institutes of Information Technology (IIITs).
• Benefits And Perks
• A culture that fosters innovation, creativity, continuous learning, and resilience
• Progressive leave policy promoting work-life balance
• Mentorship opportunities with highly qualified internal resources and industry-driven programs
• Multicultural peer groups and supportive workplace policies
• Annual workcation program allowing you to work from various scenic locations
• Experience the unique environment of a dynamic start-up

Why should you join TVARIT ?

Working at TVARIT, a deep-tech German IT startup, offers a unique blend of innovation, collaboration, and growth opportunities. We seek individuals eager to adapt and thrive in a rapidly evolving environment.

If this opportunity excites you and aligns with your career aspirations, we encourage you to apply today!

Job Description - 221135

Cloudera is looking for a highly experienced software engineer with strong expertise in Java development and a specialty in platform architecture to join the Cloudera Lens team.

Cloudera Lens is a high-fidelity, context-rich, and fully correlated self-service observability & optimization tool that analyzes the state and wellness of a customer’s environments and empowers them to proactively discover and address unknown unknowns in their data, scale operations without compromising on performance or costs, and expedite remediation of issues.

As a Java engineer, you will be working in a team of engineers led by an Engineering Manager, collaborating with other engineers and stakeholders in India, United States, and other countries around the globe.

Responsibilities:

• Lead, architecture, design, and implementation of key aspects of the Cloudera Lens data collection, data analytics, data correlations, and recommendations.

• Work with product management, engineering, UX, and documentation teams to deliver high-quality products.
• Interact with partners and customers to help define roadmap and shape the technology.
• Empower team members to deliver high-quality software at a fast pace.

Requirements:

• Proven track record of performance.
• Passionate about software engineering. Clean coding habits, attention to detail, and focus on quality and testability.

• Strong software engineering skills: object-oriented design, data structures, algorithms.
• Experience with containerization orchestration technologies: Kubernetes, Docker.
• Deep knowledge of system architecture, including process, memory, storage, and network management is highly desired.
• Experience with the following: Java, concurrent programming, and related areas.
• Experience with Java memory management, performance tuning and scaling
• Experience in building horizontally scalable products handling multi-terabyte datasets is desirable.
• Experience with relational and non-relational databases: PostgreSQL, Amazon S3.
• Strong oral and written communication skills in English.

Advantageous To Have:

• Experience in building enterprise-grade cloud products.
• Experience with building/using cross-functional observability products.
• BS or MS in computer science.
• Cloud experience: AWS, Azure, GCP.
• Python, Linux, Micro Services experience.

• Implements new hire onboarding, orientation and employee recognition programs
• Performs routine tasks required to administer and execute plans on compensation, benefits and leave; disciplinary matters; disputes and investigations; performance appraisals and talent management; productivity, recognition
• Handles employment-related inquiries from applicants, employees, and supervisors, referring complex and/or sensitive matters to the appropriate staff
• Maintains compliance with employment laws and regulations, and recommended best practices; reviews policies and practices to maintain compliance
• Maintains knowledge of trends, best practices, regulatory changes, and new technologies in human resources, talent management, and employment law
• Performs other ad-hoc duties as assigned
• Excellent verbal and written communication skills
• Excellent interpersonal, people management and conflict resolution skills
• Excellent organizational skills and attention to detail
• Proven experience in payroll processing, HRMS system, employee record management and other relevant databases
• Experience in implementing programs for employee benefits, improving engagement and to creating a healthy work environmentKnowledge of conducting upskilling, train
• ing and team building programsThorough knowledge of employment-related laws and regulations
• BBA and MBA in HR or related field required
• 3-5 years of experience in a human resource generalist role
•  

Position: Frontend Engineer / MEAN Stack Developer

Location: Bangalore

Experience: 2.5 to 4 years, preferably in an agile environment

Strong Knowledge MongoDB, Express.js, AngularJS, Node.js
Strong Knowledge on User Interface and User Experience Design
Good Knowledge on Deployment Process (Nginix, Docker, AWS, Digital Ocean)
Basic Knowledge other stacks like ReactJS, View.js