Customer Care Associate

Job Title : Cognos BI Developer

Experience : 6+ Years

Location : Bangalore / Hyderabad (Hybrid)

Notice Period : Immediate Joiners Preferred (Candidates serving notice with 10–15 days left can be considered)

Interview Mode : Virtual

Job Description :

We are seeking an experienced Cognos BI Developer with strong data modeling, dashboarding, and reporting expertise to join our growing team. The ideal candidate should have a solid background in business intelligence, data visualization, and performance analysis, and be comfortable working in a hybrid setup from Bangalore or Hyderabad.

Mandatory Skills :

Cognos BI, Framework Manager, Cognos Dashboarding, SQL, Data Modeling, Report Development (charts, lists, cross tabs, maps), ETL Concepts, KPIs, Drill-through, Macros, Prompts, Filters, Calculations.

Key Responsibilities :

1. Understand business requirements in the BI context and design data models using Framework Manager to transform raw data into meaningful insights.
2. Develop interactive dashboards and reports using Cognos Dashboard.
3. Identify and define KPIs and create reports to monitor them effectively.
4. Analyze data and present actionable insights to support business decision-making.
5. Translate business requirements into technical specifications and determine timelines for execution.
6. Design and develop models in Framework Manager, publish packages, manage security, and create reports based on these packages.
7. Develop various types of reports, including charts, lists, cross tabs, and maps, and design dashboards combining multiple reports.
8. Implement reports using macros, prompts, filters, and calculations.
9. Perform data warehouse development activities and ensure seamless data flow.
10. Write and optimize SQL queries to investigate data and resolve performance issues.
11. Utilize Cognos features such as master-detail reports, drill-throughs, bookmarks, and page sets.
12. Analyze and improve ETL processes to enhance data integration.
13. Apply technical enhancements to existing BI systems to improve their performance and usability.
14. Possess solid understanding of database fundamentals, including relational and multidimensional database design.
15. Hands-on experience with Cognos Data Modules (data modeling) and dashboarding.

Role: Machine Learning Engineer

Employment Type: Permanent with VDart Digital

Work Location: Remote

Key Responsibilities:

• Design and implement machine learning workflows from data ingestion to model deployment.
• Develop, train, and fine-tune supervised and unsupervised ML models for business applications.
• Translate complex business problems into ML-based solutions and measurable outcomes.
• Build and automate model training, evaluation, and deployment pipelines.
• Collaborate with cross-functional teams to understand requirements and deliver production-grade models.
• Ensure scalability, reliability, and performance of deployed models.
• Monitor model accuracy, drift, and performance, and manage continuous improvement cycles.
• Document ML experiments, workflows, and results for reproducibility.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
• Strong hands-on experience in building and deploying ML models end-to-end.
• Expertise in machine learning algorithms, model evaluation, and workflow orchestration.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Good understanding of MLOps practices, including CI/CD pipelines and model versioning.
• Experience in deploying ML solutions using APIs, containers, or cloud platforms (AWS, Azure, or GCP).
• Proven experience delivering real-world ML use cases such as classification, regression, forecasting, or recommendation systems.

Good to Have:

• Exposure to automation frameworks or ML pipeline tools (MLflow, Airflow, Kubeflow, etc.).
• Familiarity with data versioning and monitoring tools.
• Understanding of data governance and model lifecycle management.

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

We are one of the growing edtech company in India with a focus on the US B2B market. We are looking for a Engineering Manager to join the team and lead engineering efforts. We are looking from Product Base companies only.
 

Key Responsibilities 

• Build and lead multiple agile/scrum teams of top-notch engineers to own, drive & deliver critical parts of our products. 
• Work closely with Software Developer to develop the best technical design and approach for new product development. 
• Ensure timely delivery of projects with high quality. 

• Set up best practices for development and champion their adoption. 
• Oversee architecture & design of technically robust, flexible and scalable solutions. 
• Architecting and engineering solutions which can meet the requirement of unknown customer buying off the shelf products 
• Engage with product management teams to drive the functionality, usability, and other non-functional requirements 
• Ensure on-time launches by managing design, development, and integration efforts according to a standard or customized project plan 

• Be a champion of engineering excellence: establish team metrics for measurement of engineering and operational excellence. Implement a consistent, regular process for assessment and improvement. 
• Show strong business and technical judgment that will accelerate time to market of releases, while incrementally moving our services towards the long-term vision. 
• Be responsible for mentoring and developing front line managers and engineers. 

Qualifications 

• Bachelor's degree in Computer Science or Engineering 

• 10+ years of work experience in software development and 5+ years as a leadership role. 
•  Deep Understanding of enterprise grade technologies. 
•  Experience in building and running distributed systems for 24x7 online services at scale. 
• Deep understanding of JAVA, Spring boot, Hibernate.
•  Deep understanding & expertise with highly transactional, large relational and complex systems 
• Knowledge of Object-Oriented Design, data structures, algorithm design, and complexity analysis. 

• Experience in defining and executing professional software engineering best practices for the full software development life cycle. 
• Strong analytic and quantitative skills; ability to use hard data and metrics to back up assumptions, recommendations, and drive actions. 
• Strengths in problem-solving, issue resolution, ability to work in a deadline-driven work environment, attention to detail, and ability to multitask. 
• Strong verbal and written communication skills with a demonstrated experience. Engaging and influencing peers and executives. 
• A strong sense of ownership, urgency and drive. 

• Being a strong leader, team player, mentor, and people manager. 

Location 

• Pune 
• Hyderabad 

About the role

Checking quality is one of the most important tasks at Anakin. Our clients are pricing their products based on our data, and minor errors on our end can lead to our client's losses of millions of dollars. You would work with multiple tools and with people across various departments to ensure the accuracy of the data being crawled. You would setup manual and automated processes and make sure they run to ensure the highest possible data quality.

You are the engineer other engineers can count on. You embrace every problem with enthusiasm. You remove hurdles, are a self-starter, team player. You have the hunger to venture into unknown areas and make the system work.

Your Responsibilities would be to:

• Understand customer web scraping and data requirements; translate these into test approaches that include exploratory manual/visual testing and any additional automated tests deemed appropriate
• Take ownership of the end-to-end QA process in newly-started projects
• Draw conclusions about data quality by producing basic descriptive statistics, summaries, and visualisations
• Proactively suggest and take ownership of improvements to QA processes and methodologies by employing other technologies and tools, including but not limited to: browser add-ons, Excel add-ons, UI-based test automation tools etc.
• Ensure that project requirements are testable; work with project managers and/or clients to clarify ambiguities before QA begins
• Drive innovation and advanced validation and analytics techniques to ensure data quality for Anakin's customers
• Optimize data quality codebases and systems to monitor the Anakin family of app crawlers
• Configure and optimize the automated and manual testing and deployment systems used to check the quality of billions of data points of over 1000+ crawlers across the company
• Analyze data and bugs that require in-depth investigations
• Interface directly with external customers including managing relationships and steering requirements

Basic Qualifications:

• 2+ years of experience as a backend or a full-stack software engineer
• Web scraping experience with Python or Node.js
• 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
• Should have managed a team of software engineers
• Should be paranoid about data quality

Preferred Skills and Experience:

• Deep experience with network debugging across all OSI layers (Wireshark)
• Knowledge of networks or/and cybersecurity
• Broad understanding of the landscape of software engineering design patterns and principles
• Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
• Excellent communicator, both written and verbal

Additional Requirements:

• Must be available to work extended hours and weekends when needed to meet critical deadlines
• Must have an aversion to politics and BS. Should let his/her work speak for him/her.
• Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
• Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.

• Strong knowledge of JavaScript.
• Knowledge of and its frameworks.
• Knowledge of NodeJS deployment over servers like AWS, the digital ocean.
• Good understanding of relational databases. Having experience with MongoDB will be an advantage.
• Proficiency in handling server-side development, deployment, and debugging.
• Having worked in socket programming is an added advantage.
• Good understanding of code versioning tools, such as Git.