2+ Qlik Jobs in Chennai | Qlik Job openings in Chennai

Job brief

An ideal candidate will have 3 to 6 years of experience working in live projects related to data analysis or Business Intelligence.

Responsibilities:

• Work with business groups and technical teams to develop and maintain BI Reports & Dashboards.
• Designing, developing, and maintaining complex BI solutions, such as dashboards, reports, and data visualizations.
• Knowledge on extract data from various sources such as files, cloud, and databases & load to data warehouse and data lake.
• Responsible for performance tuning and optimization of BI solutions and ensure that the BI solutions perform efficiently and provide quick responses.
• Provide technical support during weekends, after-hours and holidays when needed.

Skills Areas

• Good knowledge of Data Analysis and Data Visualization and BI performance optimization techniques.
• Experience in developing Reports & Dashboards, relational and multidimensional models, report migration & Upgrade activities.
• Visualization Tools: Experience in one or more following visualization tools (Amazon QuickSight(Preferred), Bold BI, Power BI, Tableau, Qlik)
• Strong knowledge on writing simple and Complex SQL Query
•  Knowledge in ETL job development using Informatica, Data stage or Any other ETL tools
• Knowledge in one or more of the following domains – fraud and risk, retail payments, banking, and financial services. 
• Willing to learn new technologies and implement as per business requirement on-demand basis.
• A Self-Motivated Challenging Professional with excellent
• Problem solving Skills.
• Business Communication skills (Written & Verbal)
• Presentation & Documentation skills
• Mentoring and People Management skills

Experience

The ideal candidate will have relevant experience of > 3 years. Possession of a professional degree / post-graduation is desirable. Certifications in the respective technology areas will be an added advantage. 

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.