Data Engineer

Company Description (www.innefu.com) Founded in 2010, Innefu is an AI Driven R&D company providing cutting edge Data Analytics and Information Security solutions. The company was started with a clear focus to carry out high Tech R&D which fuels innovation and leads to products which can capture the global market and be the cornerstone of the economy of the country. With more than 100+ installations across Indian Subcontinent, Middle East and Southeast Asia, the company is today a de-facto leader in developing and deploying AI for National and cyber-Security.

The company with its own range of products serves a diverse client base including Defense and Intelligence organizations, Law Enforcement Agencies, Financial Intelligence Units, BFSI as well as top Fortune 500 companies. Having worked with some of the most sensitive organizations, the company has a deep understanding of handling sensitive and critical installations. The company has a clear focus on developing state-of-the-art products oriented towards solving real world problems of our clients with exemplary support to ensure 100% customer satisfaction.

Key Responsibilities Work closely with business stakeholders to gather and analyze requirements, and assist tech tean to translate them into effective data models, ETL pipelines, and analytics solutions Design, build, and maintain end-to-end data pipelines handling structured, semi-structured, and unstructured data, ensuring data accuracy, performance, and scalability Perform data augmentation and normalization to enhance data usability, consistency, and analytical value Analyze business processes and data trends to generate insights, recommendations, and optimization opportunities Develop, optimize, and maintain complex SQL queries and data transformations to support reporting and decision-making Create dashboards, reports, and analytical data views aligned with defined business KPIs Ensure high standards of data quality, governance, documentation, and compliance across all data assets Collaborate with engineering, product, and leadership teams in an agile, fast-paced environment Required Skills & Qualifications Strong proficiency in SQL and advanced data analysis techniques Hands-on experience with ETL/ELT pipelines, data modeling, and data normalization practices Experience working with structured, semi-structured, and unstructured data sources Practical experience with modern data warehouses (Snowflake, Redshift, BigQuery, etc.) Experience with BI and visualization tools (Power BI, Tableau, Looker, etc.) Strong ability to translate business requirements into scalable and efficient data solutions Excellent communication, analytical, and stakeholder management skills