Data Engineer

Roles & Responsibilities:

• Responsible for performing full-cycle recruiting functions including but not limited to job understanding, candidate sourcing, social networking, phone screening, email communication, documentation, summary writing and presentation.
• Identifying right candidates with the right skills to match the US clients’ requirements
• Regularly interacting with Account Manager to understand the requirements
• Should understand the requirement in depth to ensure quality sourcing and recruiting
• Should ensure to revert submit profiles with quick turnaround time for timely submissions to meet sharp deadlines for each requisition
• Make use of effective resourcing strategies, such as head hunting, Internet sourcing, networking, employee referrals
• Must have experience on full Life Cycle of Recruiting (screening resumes, interviewing, offer extension and post-placement care)
• Ability to work as a good team player, Maintaining & building the candidate database

About us:

Devcare Solution is a place where a best-in-class working environment, professional management, and opportunities to learn exist bundled with exceptional rewards. It is ready to take more on board for all those who deserve a dream career. The team is full of good spirits complimenting each one's brilliance at workplace. Needless to say about the interesting projects, you for sure will gain an enriching positive experience every moment.

Name of the company: DevCare Solutions

Year of establishment: April 19th, 2005

Company address: No 4, Ram complex, Padasalai Street, Urapakkam, Chennai 603210

[http://www.devcare..com]www.devcare..com

It's Complete US Shift (Night Shift)

Shift Timing will be 7.00pm to 4.00am IST

5 Days Working Sat & Sunday fixed Week off

Cab facilities are there for our employees

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

🚨 Priority Requirement – Salesforce Architect

📍 Locations: Bengaluru, Mumbai, Hyderabad, Delhi, Mohali, Pune

⏰ Shift: Noon

We are hiring a Salesforce Solution Architect to lead transition from Salesforce Classic to Lightning.

Why this role matters:

This position will drive scalable, user-friendly solutions leveraging native Salesforce capabilities, reducing custom technical debt, and enabling a seamless associate experience across resident services and call centers.

Key Responsibilities:

Lead the end-to-end migration strategy from Classic to Lightning.

Redesign data models (standardize Leads/Opportunities where applicable).

Configure Lightning features: Dynamic Forms, Flows, Omni-Channel, Lightning Pages.

Recommend and implement AppExchange solutions.

Collaborate with cross-functional teams to deliver incremental releases.

Ensure compliance with security, profiles, and permission sets.

Act as a trusted advisor for Salesforce roadmap planning.

Qualifications:

✔ 6+ years Salesforce experience (3+ years in Lightning).

✔ Strong expertise in Service Cloud, Marketing Cloud, case management & digital engagement.

✔ Hands-on Classic-to-Lightning migration experience.

✔ Deep understanding of low-code/no-code tools (Flows, Dynamic Actions).

✔ Salesforce Certified Application/Solution Architect (preferred).

✔ Excellent communication & stakeholder management skills

If this is inline with what you are looking at, please share your resume here

Mandatory Face-to-Face Interviews Only Conducted

Work Location: Bangalore - Basavanagudi-WFO

Salary Upto 4 LPA

Job Details:

Employment: Full Time

Location: Basavanagudi, Bangalore

Industry: Education Management, Career Counselling,

Responsibilities:

• Identifying and contacting prospective customers through a variety of channels, such as cold calling, networking, and referrals.

• Creating and putting into practice sales strategies to achieve and exceed revenue goals.

• Keeping up-to-date sales records, reporting on sales indicators, and tracking progress toward goals.

• Working together with cross-functional teams, such as those for product development and marketing, to enhance the general sales process and customer experience.

Requirements:

• Bachelor's degree in business, marketing, or a similar subject is required,
• strong interpersonal and communication abilities.
• strong aptitude for planning and time management
• competent with CRM and Microsoft Office

Perks and benefits:

• Monthly incentives
• Indoor work environment
• Paid time off
• Health insurance
• PF

Additional benefits:

• Laptop
• Mobile
• Internet

A proficient, independent contributor that assists in technical design, development, implementation, and support of data pipelines; beginning to invest in less-experienced engineers.

Responsibilities:

- Design, Create and maintain on premise and cloud based data integration pipelines. 
- Assemble large, complex data sets that meet functional/non functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data pipelines to enable BI, Analytics and Data Science teams that assist them in building and optimizing their systems
- Assists in the onboarding, training and development of team members.
- Reviews code changes and pull requests for standardization and best practices
- Evolve existing development to be automated, scalable, resilient, self-serve platforms
- Assist the team in the design and requirements gathering for technical and non technical work to drive the direction of projects

Technical & Business Expertise:

-Hands on integration experience in SSIS/Mulesoft
- Hands on experience Azure Synapse
- Proven advanced level of writing database experience in SQL Server
- Proven advanced level of understanding about Data Lake
- Proven intermediate level of writing Python or similar programming language
- Intermediate understanding of Cloud Platforms (GCP) 
- Intermediate understanding of Data Warehousing
- Advanced Understanding of Source Control (Github)

Roles & Responsibilities:

• Expertise in the over-all development cycle and strong technical experience
• Strong Java programming, architecture, DevOps and QA chops.
• Wide experience working with a diverse engineering stack in a fast-paced environment.
• Create and lead a team of engineers and drive development efforts for various products.
• Lead a team
• Code and Architect key features that form the backbone of platform
• Conduct performance reviews and mentor and guide the team reporting
• Excellent communication and inter-personal skills

If the above mentioned requirement matches your profiles and if you are interested, please apply here

Responsibilities:

• Responsible for developing Web Applications/ Rest Apis/ Automation Scripts.
• Design, Develop, Enhance and test Back End Web Modules using Nodejs, Nestjs Framework, Mongo DB.
• Research and explore existing solutions, competition to get a holistic understanding of the design and development.
• Communicate and collaborate effectively with various teams for effective outcomes.
• Meet deadlines in a high intensity work environment.
• Write Highly scalable and stable code.
• Pick up any project & amp; suggest a solution for completing it.
• Write production ready code with minimal bugs.
• Review other engineers' code and provide constructive feedback.
• Help grow the engineering team through involvement in the technology community (conferences, meetups, blog posts, open-source projects, etc) and referrals.
• Monitor changes in production & amp; rollback if necessary.
• Pair often and provide some guidance to more junior engineers.

Requirements:

• 2-6 years of working experience in backend technologies.
• Proficient in NodeJs, NestJs, Js.
• Understanding of Backend End Technologies.
• Proficient in RESTful APIs and API Communications.
• Understanding of Sql and NoSql Databases.
• Good grasp of Asynchronous Programming and its work arounds.
• Database schema Creation for business process.
• Working knowledge in user authentication and authorization.
• Implementing data protection Error Handling skills
• Good at analyzing and solving problems.
• Passionate to work in a start-up.
• Knowledge of firebase authentication and analytics.
• Knowledge of AWS deployment tools and strategy.
• Should be good with the Low Level and High Level Design.
• Understanding of Different Design Patterns.