Inteliment Technologies

About the company:

Inteliment is a niche business analytics company with almost 2 decades proven track record of partnering with hundreds of fortunes 500 global companies. Inteliment operates its ISO certified development centre in Pune, India and has business operations in multiple countries through subsidiaries in Singapore, Europe and headquarter in India.

About the role:

As a Technical Project Manager, you will lead the planning, execution, and delivery of complex technical projects while ensuring alignment with business objectives and timelines. You will act as a bridge between technical teams and stakeholders, managing resources, risks, and communications to deliver high-quality solutions. This role demands strong leadership, project management expertise, and technical acumen to drive project success in a dynamic and collaborative environment.

Qualifications:

• Education Background: Any ME / M Tech / BE / B Tech 

Key Competencies:

Technical Skills

1. Data & BI Technologies-

• Proficiency in SQL & PL/SQL for database querying and optimization.
• Understanding of data warehousing concepts, dimensional modeling, and data lake/lakehouse architectures.
• Experience with BI tools such as Power BI, Tableau, Qlik Sense/View.
• Familiarity with traditional platforms like Oracle, Informatica, SAP BO, BODS, BW.

2. Cloud & Data Engineering :

• Strong knowledge of AWS (EC2, S3, Lambda, Glue, Redshift), Azure (Data Factory, Synapse, Databricks, ADLS),
• Snowflake (warehouse architecture, performance tuning), and Databricks (Delta Lake, Spark).
• Experience with cloud-based ETL/ELT pipelines, data ingestion, orchestration, and workflow automation.

3. Programming

• Hands-on experience in Python or similar scripting languages for data processing and automation.

Soft Skills

• Strong leadership and team management skills.
• Excellent verbal and written communication for stakeholder alignment.
• Structured problem-solving and decision-making capability.
• Ability to manage ambiguity and handle multiple priorities.

Tools & Platforms

• Cloud: AWS, Azure
• Data Platforms: Snowflake, Databricks
• BI Tools: Power BI, Tableau, Qlik
• Data Management: Oracle, Informatica, SAP BO
• Project Tools: JIRA, MS Project, Confluence (recommended additions if you want)

Key Responsibilities:

• End-to-End Project Management: Lead the team through the full project lifecycle, delivering techno-functional solutions.
• Methodology Expertise: Apply Agile, PMP, and other frameworks to ensure effective project execution and resource management.
• Technology Integration: Oversee technology integration and ensure alignment with business goals.
• Stakeholder & Conflict Management: Manage relationships with customers, partners, and vendors, addressing expectations and conflicts proactively.
• Technical Guidance: Provide expertise in software design, architecture, and ensure project feasibility.
• Change Management: Analyse new requirements/change requests, ensuring alignment with project goals.
• Effort & Cost Estimation: Estimate project efforts and costs and identify potential risks early.
• Risk Mitigation: Proactively identify risks and develop mitigation strategies, escalating issues in advance.
• Hands-On Contribution: Participate in coding, code reviews, testing, and documentation as needed.
• Project Planning & Monitoring: Develop detailed project plans, track progress, and monitor task dependencies.
• Scope Management: Manage project scope, deliverables, and exclusions, ensuring technical feasibility.
• Effective Communication: Communicate with stakeholders to ensure agreement on scope, timelines, and objectives.
• Reporting: Provide status and RAG reports, proactively addressing risks and issues.
• Change Control: Manage changes in project scope, schedule, and costs using appropriate verification techniques.
• Performance Measurement: Measure project performance with tools and techniques to ensure progress.
• Operational Process Management: Oversee operational tasks like timesheet approvals, leave, appraisals, and invoicing.

About the company:

Inteliment is a niche business analytics company with almost 2 decades proven track record of partnering with hundreds of fortunes 500 global companies. Inteliment operates its ISO certified development centre in Pune, India and has business operations in multiple countries through subsidiaries in Singapore, Europe and headquarter in India.

About the Role:

We are seeking an experienced Technical Data Professional with hands-on expertise in designing and implementing dimensional data models using Erwin or any dimensional model tool and building SQL-based solutions adhering to Data Vault 2.0 and Information Mart standards. The ideal candidate will have strong data analysis capabilities, exceptional SQL skills, and a deep understanding of data relationships, metrics, and granularity of the data structures.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Certifications with related field will be an added advantage.

Key Competencies:

1.Technical Expertise:

• Proficiency in Erwin for data modeling.
• Advanced SQL skills with experience in writing and optimizing performance driven queries.
• Hands-on experience with Data Vault 2.0 and Information Mart standards is highly preferred.
• Solid understanding of Star Schema, Facts & Dimensions, and Business Unit (BU) architecture.

2. Analytical Skills:

• Strong data analysis skills to evaluate data relationships, metrics, and granularities.
• Capability to troubleshoot and resolve complex data modeling and performance issues.

3.Soft Skills:

• Strong problem-solving and decision-making skills.
• Excellent communication and stakeholder management abilities.
• Proactive and detail-oriented with a focus on delivering high-quality results.

Key Responsibilities:

1. Dimensional Data Modeling:

• Design and develop dimensional data models using Erwin with a focus on Star Schema and BUS architecture (Fact and Dimension tables).
• Ensure models align with business requirements and provide scalability, performance, and maintainability.

2. SQL Development:

• Implement data models in SQL using best practices for view creation, ensuring high performance.
• Write, optimize, and refactor complex SQL queries for efficiency and performance in large-scale databases.
• Develop solutions adhering to Information Mart and Data Vault 2.0 standards. (Dimensional model that is built using Raw Data vault tables Hubs, Links, satellites, Effectivity satellites , Bridge and PIT tables from Data Vault.)

3. Data Analysis & Relationship Metrics:

• Perform in-depth data analysis to identify patterns, relationships, and metrics at different levels of granularity.
• Ensure data integrity and quality by validating data models against business expectations.

4. Performance Optimization:

• Conduct performance tuning of existing data structures, queries, and ETL processes.
• Provide guidance on database indexing, partitioning, and query optimization techniques.

5. Collaboration:

• Work closely with business stakeholders, data engineers, and analysts to understand and translate business needs into effective data solutions.
• Support cross-functional teams to ensure seamless integration and delivery of data solutions

About the company:

Inteliment is a niche business analytics company with almost 2 decades proven track record of partnering with hundreds of fortunes 500 global companies. Inteliment operates its ISO certified development centre in Pune, India and has business operations in multiple countries through subsidiaries in Singapore, Europe and headquarter in India.

About the Role:

As a Data Engineer, you will contribute to cutting-edge global projects and innovative product initiatives, delivering impactful solutions for our Fortune clients. In this role, you will take ownership of the entire data pipeline and infrastructure development lifecycle—from ideation and design to implementation and ongoing optimization. Your efforts will ensure the delivery of high-performance, scalable, and reliable data solutions. Join us to become a driving force in shaping the future of data infrastructure and innovation, paving the way for transformative advancements in the data ecosystem.

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
• Certifications with related field will be an added advantage.

Key Competencies:

• Must have experience with SQL, Python and Hadoop
• Good to have experience with Cloud Computing Platforms (AWS, Azure, GCP, etc.), DevOps Practices, Agile Development Methodologies
• ETL or other similar technologies will be an advantage.
• Core Skills: Proficiency in SQL, Python, or Scala for data processing and manipulation
• Data Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Tools: Familiarity with tools like Apache Spark, Kafka, and modern data warehouses (e.g., Snowflake, Big Query, Redshift).
• Soft Skills: Strong problem-solving abilities, collaboration, and communication skills to work effectively with technical and non-technical teams.
• Additional: Knowledge of SAP would be an advantage 

Key Responsibilities:

• Data Pipeline Development: Build, maintain, and optimize ETL/ELT pipelines for seamless data flow.
• Data Integration: Consolidate data from various sources into unified systems.
• Database Management: Design and optimize scalable data storage solutions.
• Data Quality Assurance: Ensure data accuracy, consistency, and completeness.
• Collaboration: Work with analysts, scientists, and stakeholders to meet data needs.
• Performance Optimization: Enhance pipeline efficiency and database performance.
• Data Security: Implement and maintain robust data security and governance policies
• Innovation: Adopt new tools and design scalable solutions for future growth.
• Monitoring: Continuously monitor and maintain data systems for reliability.
• Data Engineers ensure reliable, high-quality data infrastructure for analytics and decision-making.