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/lakehouses, or real-time data processing.

📌 Senior Data Engineer (India)
🏢 Hash Agile Technologies
📍 India