Job Description
ASSOCIATE SOFTWARE ENGINEER - LEVEL II (DATA & ANALYTICS ENGINEER)
H Connect International (A Hirdaramani Group Venture) is a leading global Business Process Management (BPM) and outsourcing company, delivering a broad range of services across Finance & Accounting, Customer Services, Procurement, Analytics, and Technology solutions to clients worldwide. H Connect International partners with clients across industries, including Fashion & Apparel, Real Estate, Travel & Leisure, Manufacturing, Insurance, Financial Services, Retail & Consumer Packaged Goods, Shipping & Logistics, and Healthcare and Professional Services. H Connect International provides professionals with opportunities to work in diverse, international environments and develop future-ready skills within an inclusive and collaborative culture, focused on continuous learning and career growth.
The Job:
- Design and build data pipelines and ETL processes to move and transform data reliably across company systems.
- Develop and maintain data models that support reliable, well-structured reporting and analytics.
- Write and optimise SQL across data pipelines, reporting layers, and ad hoc analysis.
- Build and maintain Power BI dashboards and reports that provide stakeholders with clear, accurate visibility into business performance.
- Apply data structures and algorithms thinking to design efficient, scalable data processes.
- Apply version control and CI/CD practices to data pipeline and analytics code, ensuring changes are tested and deployed safely.
- Apply AI tools and literacy to accelerate data engineering, analysis, and reporting work.
- Contribute to data warehouse design, database administration, or solution architecture where relevant.
- Work closely with stakeholders across the business to understand reporting needs and translate them into reliable data solutions.
Requirements:
- Relevant academic and/or professional qualifications in Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field.
- Minimum of 3 – 5 years of experience in data engineering, data analytics, business intelligence, SQL development, or a similar role.
- Strong SQL skills, with the ability to write and optimise complex queries across large datasets.
- Solid experience in data modelling and structuring data for reliable and maintainable reporting.
- Hands-on experience in building data pipelines and ETL processes, as well as developing data visualisations and dashboards, preferably using Power BI.
- Good understanding of data structures and algorithms.
- Practical experience with version control tools such as Git and CI/CD pipelines, with exposure to Azure, data warehousing, database administration, or solution architecture considered an added advantage.
- Working knowledge of AI-assisted tools and the ability to apply them to support data engineering and analysis activities.
- Strong analytical and problem-solving skills with excellent attention to detail, effective communication skills, and the ability to work independently.