Senior Data Engineer

Location: Athiyur

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, Big Query, 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/lake houses, or real-time data processing.