Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

We are looking for a skilled BI Engineer to join our team. The ideal candidate will have expertise in MicroStrategy, SQL, Reporting and Data Modeling along with experience in building insightful dashboards.

Key Responsibilities:

●Design, develop, and deploy MicroStrategy dashboards, reports, and visualizations.

●Write complex SQL queries to extract, manipulate, and analyse data from various sources.

●Develop and optimize data warehouse solutions for efficient data storage and retrieval.

●Collaborate with cross-functional teams to understand business requirements and deliver data solutions.

●Maintain and support MicroStrategy objects (attributes, facts, filters, prompts)

●Ensure data accuracy, consistency, and performance across reports and dashboards.

●Automate reporting processes and improve data visualization techniques.

●Troubleshoot data issues and optimize queries for better performance.

●Collaborate with business teams to understand reporting needs and translate them into visual insights.

●Work closely with business analysts, data engineers, and stakeholders to gather requirements and ensure solutions meet business needs.

Required Skills & Qualifications:

●5+ years of experience in BI engineering or data analytics.

●Strong expertise in MicroStrategy for dashboard, Data Modeling and report development.

●Knowledge of MicroStrategy architecture, Development and administration tools.

●Strong understanding of data modelling

●Perform data modeling and ETL validation to ensure accuracy of reports.

●Proficiency in SQL for querying and data manipulation.

●Experience working with data warehousing concepts and technologies (Redshift, Snowflake, BigQuery, etc.).

●Ability to process large datasets and optimize queries for performance.

●Strong analytical and problem-solving skills.

Preferred Qualifications:

MicroStrategy certification will be considered an added advantage.

Familiarity with the Tableau tool

Job Summary:

We are seeking an experienced Tableau Server Administrator to manage, maintain, and optimize our multi-node, on-premise Tableau Server environment. The ideal candidate will have strong expertise in Tableau Server architecture, installation, upgrades, and troubleshooting, as well as ensuring its scalability, performance, and security. This role will also involve collaboration with business intelligence teams to support Tableau dashboards and workflows.

Key Responsibilities:

Tableau Server Installation & Configuration:

1. Manage multi-node, on-premise Tableau Server deployment and configuration.
2. Install and upgrade Tableau Server across environments (Development, QA, Production).
3. Configure and maintain Tableau Server processes, services, and configurations for optimal performance.

Performance Monitoring & Optimization:

1. Monitor server performance, disk space, and log files to ensure availability and efficiency.
2. Conduct capacity planning and fine-tune server resources (e.g., CPU, RAM, and disk utilization) to support increasing workloads.
3. Optimize Tableau extracts, data connections, and server processes for improved speed and efficiency.

User Management & Security:

1. Manage user accounts, groups, roles, and permissions in Tableau Server.
2. Implement and enforce security protocols for data, content, and access controls.
3. Collaborate with IT teams to ensure compliance with organizational security policies.

Troubleshooting & Issue Resolution:

1. Diagnose and resolve Tableau Server-related issues, including downtime, errors, and performance bottlenecks.
2. Work with Tableau Support to address critical incidents and escalations.

Automation & Scripting:

1. Automate administrative tasks using Tableau Server Command Line (tabcmd) and REST APIs.
2. Schedule and monitor Tableau extract refreshes, subscriptions, and workflows.

Collaboration with Stakeholders:

1. Work closely with BI developers, data engineers, and analysts to support Tableau content publishing and troubleshooting.
2. Assist in creating governance standards for Tableau content and server usage.

Data Connectivity & Integration:

1. Maintain and troubleshoot Tableau Server connections to various data sources, such as SQL databases, flat files, and APIs.
2. Collaborate with data teams to ensure high availability and data accuracy.

Upgrades, Patches & Backups:

1. Plan and execute Tableau Server upgrades, patches, and backups with minimal disruption to operations.
2. Implement disaster recovery plans and strategies for Tableau Server.

Documentation & Reporting:

1. Maintain detailed documentation for server configurations, upgrade logs, and processes.
2. Create usage reports, server activity logs, and audit trails for stakeholders.

Required Skills & Qualifications:

Technical Expertise:

• Strong experience with Tableau Server administration in a multi-node, on-premise environment.
• Proficiency in Tableau Desktop, Tableau Prep, and Tableau Server tools (tabcmd, TSM, REST API).
• Knowledge of Windows Server/Linux administration and networking concepts.
• Familiarity with scripting languages (Python, PowerShell, or Bash) for automation.

Database & Data Integration Skills:

• Experience with relational databases like SQL Server, PostgreSQL, Oracle, or MySQL.
• Knowledge of data extraction, ETL processes, and integrating Tableau with enterprise data sources.

Performance Tuning:

• Expertise in optimizing Tableau extracts, dashboards, and server configurations for high performance.

Problem-Solving Skills:

• Ability to troubleshoot server issues and resolve them efficiently.

Soft Skills:

• Excellent communication and collaboration skills.
• Strong organizational skills with attention to detail.

Preferred Qualifications:

• Tableau Server Certified Associate or Certified Professional certification.
• Experience managing Tableau in high-availability and disaster recovery scenarios.
• Familiarity with Tableau Cloud or hybrid Tableau environments.
• Knowledge of load balancing, SSL certificate configuration, and Active Directory integration.

Benefits:

• Competitive salary and performance-based incentives.
• Opportunities for professional development and Tableau certifications.
• Flexible working hours and hybrid working options (if applicable).
• Access to cutting-edge BI tools and resources.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

• KSQL
• Data Engineering spectrum (Java/Spark)
• Spark Scala / Kafka Streaming
• Confluent Kafka components
• Basic understanding of Hadoop

• Responsible for gathering, crunching, collecting raw data.
• Own all data needs in the growth team and across key cross-functional initiatives from data extraction, dashboard creation, and data analysis.
• Provide insights and recommended actions as response to current situation, trend, as well as preventive one for better preparation.
• Collaborate with data engineering and cross-functional stakeholders to define data requirements, create dashboard, to drive business decisions and optimize business outcomes
• Manage any regular reporting and tracking.
• Deliver analysis, insights, reporting, data marts, and tools to support the business team.
• Build & maintain data mart and dashboards for tracking business OKR and initiatives.
• Ingest both internal and external data to support business needs.

• Bachelor's degree in Engineering, Mathematics, Statistics, Operation Research or other related disciplines.
• Having 2 - 5 years experience will be an advantage, but fresh graduates are welcomed to apply as well.
• Expert in Spreadsheet, SQL and strong experience with Data Visualization and Reporting tools (e.g. Tableau, Google Data Studio)
• Comfortable working independently and collaboratively with minimal guidance.

If you are an outstanding ETL Developer with a passion for technology and looking forward to being part of a great development organization, we would love to hear from you. We are offering technology consultancy services to our Fortune 500 customers with a primary focus on digital technologies. Our customers are looking for top-tier talents in the industry and willing to compensate based on your skill and expertise. The nature of our engagement is Contract in most cases. If you are looking for the next big step in your career, we are glad to partner with you. 

Below is the job description for your review.

Extensive hands- on experience in designing and developing ETL packages using SSIS

Extensive experience in performance tuning of SSIS packages

In- depth knowledge of data warehousing concepts and ETL systems, relational databases like SQL Server 2012/ 2014.