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Position Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
2. Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
3. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
4. Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
5. Optimize and tune data pipelines for performance, scalability, and reliability.
6. Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
7. Implement security measures and best practices to protect sensitive data.
8. Stay updated with emerging technologies and best practices in data engineering and data visualization.
9. Document processes, workflows, and configurations to maintain a comprehensive knowledge base.

Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
2. Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
3. Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
4. Solid understanding of data analytics concepts and techniques.
5. Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
6. Proficiency in programming languages such as Python and SQL.
7. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
8. Excellent analytical and problem-solving skills with attention to detail.
9. Strong communication and collaboration skills to work effectively with cross-functional teams.
10. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.

Preferred Qualifications:

• Advanced degree in Computer Science, Engineering, or related field.
• Certifications in Power BI or related technologies.
• Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
• Knowledge of machine learning concepts and frameworks.

Job Description

• Be a champion for technical solutions on the Microsoft platform with a keen understanding of Dynamics NAV/BC development practices, and a good knowledge of other development techniques. Should have done upgrades from previous versions and data migration from various legacy applications.
• Provide capability to develop sector-specific templates to enhance the out of the box Dynamics NAV/BC functionality, giving a unique selling point and also a resaleable asset.
• Work closely with the architecture team to design and develop our most complex customer needs, providing development only where these requirements cannot be met through configuration. Creating high quality and sustainable client solutions and project documentation.
• Meet and exceed customer expectations of business knowledge, skills and behavior. Identify business/project risk and mitigate or communicate as necessary.
• Participate in pre-sales activities as requested.
• Support practice development activities such as defining and configuring industry-specific templates.

Responsibilities:

• Be a champion for technical solutions on the Microsoft platform with a keen understanding of Dynamics NAV/BC development practices, and a good knowledge of other development techniques.
• Work closely with the architecture team to design and develop our most complex customer needs, providing development only where these requirements cannot be met through configuration.
• Provide capability to develop sector-specific templates to enhance the out of the box Dynamics NAV/BC functionality, giving a unique selling point and also a resaleable asset.
• Support practice development activities such as defining and configuring industry-specific templates.
• Participate in Pre-sales activities as and when required.

Technical Skills:

Primary Skills Required(Dynamics NAV/BC)

• Extensive experience with Dynamics NAV/BC up to the latest versions
• Broad Dynamics NAV/BC module understanding covering all core modules and additional add-on solutions
• Direct experience in consultancy and solution architecture within a Microsoft Gold Partner environment
• Track record of Dynamics NAV/BC implementation experience either as a team member or team leader.
• Knowledge of NAV/BC implementation and end to end implementation
• Experience with NAV/BC interfacing and integration. Experience in gathering technical requirement. upgrades and migration knowledge is important
• Beneficial to know Agile and Sure Step methodologies
• Experience in other technologies such as D365, SQL, Power BI, SSAS, SharePoint along with knowledge of Azure and .Net;
• Strong verbal and written communication skills, along with well-developed interpersonal skills and an ability to relate to clients and colleagues

Secondary Skills:

• Knowledge of SQL Server, MS Azure, Power BI, SSRS.(Required)
• Good to have someone with Auto domain expertise. Should have very good experience in client handling

Soft Skills Required:

Strong personal organization and time management skills

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

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.

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

BI Developer

Roles and Responsibilities:

• Comprehensive knowledge of SQL
• Expertise as a Microsoft BI Developer (SQL Server, SSIS)
• Experience and understanding of build and deploy processes
• A structured approach to software development (agile or waterfall), and a thorough understanding of the full software development lifecycle
• Knowledge and experience in experience banking
• Contribute to planning and estimation of sprints, features and releases
• Integrate new data sources using SQL, SSIS and C#
• Contribute to the testing and UAT phases
• In addition SQL Server 2014, Integration Services, Analysis Services, and Reporting Services (SSIS, ), Microsoft .NET, Tableau, Power BI, Data warehouse design