Lead Data Engineer

Hash Agile Technologies is looking for an experienced Lead Data Engineer to design, develop, and lead scalable data engineering solutions. The ideal candidate should have strong hands-on experience in data pipelines, ETL/ELT, data platforms, and cloud technologies, with the ability to guide engineering teams and drive end-to-end delivery. 📍 Location: Coimbatore 💼 Experience: 7+ Years 🕒 Employment Type: Full-time Key Responsibilities • Lead the design, development, and delivery of scalable data engineering solutions and enterprise data platforms. • Design and optimize ETL/ELT pipelines for ingesting, transforming, and processing large volumes of data. • Work with different data integration, processing, storage, and cloud technologies based on project requirements. • Provide technical leadership, conduct code/design reviews, and mentor data engineering team members. • Collaborate with clients, stakeholders, architects, and cross-functional teams to understand requirements and deliver effective data solutions. • Drive data quality, performance, reliability, scalability, and monitoring across data pipelines. • Own technical delivery, manage dependencies and risks, and ensure projects are delivered within defined timelines. • Contribute to architecture decisions, best practices, documentation, and continuous improvement. Required Skills & Qualifications • 7+ years of hands-on experience in Data Engineering, with experience in a lead/technical leadership capacity. • Strong fundamentals in SQL, data modelling, ETL/ELT, data pipelines, and data warehousing. • Experience with any major cloud platform such as AWS, Azure, or GCP. • Experience with any enterprise data integration/ETL technology such as Informatica, Azure Data Factory, AWS Glue, SSIS, Talend, or similar. • Experience with one or more data processing/platform technologies such as Databricks, Snowflake, Spark, Synapse, Redshift, BigQuery, or equivalent. • Strong understanding of data architecture, scalability, performance optimization, and data quality. • Excellent problem-solving, communication, stakeholder management, and leadership skills. • Ability to understand business requirements and translate them into robust technical data solutions. Nice to Have • Experience in Pharmaceutical, Healthcare, or Life Sciences domains. • Experience working with large-scale enterprise data platforms. • Exposure to modern data architecture, cloud migration, data lakes/lakehouses, or real-time data processing.