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.

Work arrangement
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