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Senior, specialized data engineering role with metro location and reputable brand yields moderate applicant competition.
Core data engineering skills are transferable, though R&D/pharma domain knowledge is preferred.
Mandatory 8+ years plus numerous required cloud, Snowflake, Airflow, dbt, Terraform skills creates strict filters.
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Lead design and development of scalable data pipelines and workflows to ingest, process, and store large volumes of complex structured and unstructured data.
Collaborate within agile Data & AI Product Delivery Pods to deliver multiple data products supporting various R&D business areas.
Optimize and maintain data workflows and provide oversight to junior engineers for testing and product deployment.
Bachelor's degree in software engineering or related field or equivalent experience.
8+ years of experience in data product engineering, software engineering, or related field.
Mandatory skills include Python, SQL, AWS cloud platform components (S3, Lambda, Glue, EC2, IAM, SQS, API Gateway, EventBridge, EMR, MWAA), Snowflake, Informatica Intelligent Cloud Services, Apache Airflow, dbt, Terraform, and CI/CD for data pipelines.
Location: Hyderabad; Job type: Permanent, Full time.
Experienced in working with R&D data environments and comfortable in agile, cross-functional product teams.
Strong expertise in cloud-native architecture and building scalable ETL/ELT pipelines with advanced data orchestration skills.
Capable of contributing to innovation and continuous learning in data product engineering with a focus on AI/ML and digital transformation in R&D.