Jobs at Inteliment

Lead end-to-end delivery of data, cloud, and analytics projects. Responsibilities include managing stakeholders and clients, coordinating business and technical teams, driving AWS, Azure, Snowflake, and Databricks initiatives, overseeing risks and timelines, and maintaining project reporting and delivery governance. The role also requires effort estimation, cloud migration experience, Agile or Scrum delivery, team leadership, and strong communication and decision-making skills.

Develop and maintain ETL pipelines using Informatica PowerCenter and IICS. Integrate data from databases, files, and APIs; optimize performance; support requirements analysis and solution design; and ensure data quality, testing, documentation, and effective processing of large datasets.

Develops and optimizes Oracle PL/SQL database solutions, including procedures, functions, packages, triggers, and complex SQL queries. Supports ETL and data-processing workflows, troubleshoots database issues, and ensures data quality and performance. Collaborates with business and technical teams to understand requirements and deliver enterprise data and analytics solutions.

Generate and qualify leads through outbound calls, emails, and LinkedIn; pitch Zoho-based CRM and SaaS solutions; schedule demos; coordinate with pre-sales teams; maintain CRM pipelines; support proposals, follow-ups, and deal closures; and develop client relationships for repeat business. The role requires 2–3 years of inside, SaaS, or IT sales experience, strong communication skills, cold outreach experience, CRM familiarity, and the ability to meet sales KPIs.

Develop Power BI dashboards, reports, and data models using DAX and Power Query. Integrate data from SQL, Excel, and APIs; optimize performance for large datasets; ensure data accuracy, security, and governance; and collaborate with stakeholders to gather requirements. The role also involves data visualization, ETL and transformation, row-level security, and potential use of Azure Data Factory and Power Platform.

Design and deliver scalable end-to-end data pipelines, analytics platforms, data models, and enterprise dashboards. Build and optimize ETL/ELT solutions using Python, PySpark, and SQL; work with cloud platforms and data warehouses; ensure data quality, governance, security, and performance. Lead technical teams, review designs, mentor developers, engage clients, conduct requirements workshops, and provide solution estimates and architecture approaches.

Leads end-to-end delivery of data engineering, analytics, and BI projects, managing timelines, quality, risks, estimates, and outcomes. Manages and mentors technical teams while providing hands-on technical guidance in SQL, data warehousing, ETL, programming, and BI tools. Coordinates with clients and global stakeholders, drives process improvements, and ensures delivery excellence in Agile, client-facing environments.

Build and maintain scalable ETL/ELT pipelines and modern data platforms. Integrate data from databases, APIs, files, and cloud sources; ensure data quality, reliability, and performance; optimize queries, pipelines, and storage; and collaborate with analysts, architects, and stakeholders.