Senior Specialist, Data Engineering in Hyderabad, भारत
Merck
Hyderabad, भारत
Merck seeks a Senior Specialist in Data Engineering based in Hyderabad to design, build, and maintain scalable data pipelines and platforms supporting drug development. The role involves collaborating with data scientists and business teams to deliver production-grade solutions within a global, matrix-driven environment.
Responsibilities
Design, develop, and maintain data pipelines extracting data from various sources into data lakes and warehouses
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into production-grade pipelines and datasets
Build and maintain platforms supporting data ingestion, transformation, and orchestration across internal and external sources
Monitor, troubleshoot, and resolve data integration platform issues to ensure uptime and reliability
Automate data flows and pipeline monitoring; maintain documentation for integration processes and code
Requirements
Bachelor's degree in Information Technology, Computer Science, or related technology field
7–11 years of experience developing data pipelines and infrastructure in life sciences or drug development
Strong SQL and Python (including PySpark) programming skills
Hands-on experience with AWS (S3, core console concepts, IAM) and Apache Spark
Practical experience with Databricks platform, Delta Lake, and cloud data warehouses (Redshift, Snowflake, Azure Synapse)
Demonstrated expertise in ETL/ELT patterns, data modeling, and CI/CD tooling (Git-based systems, Jenkins, GitHub Actions, Azure DevOps)
Experience implementing monitoring, logging, and data quality checks for operational pipelines
... Amazon Web Services (AWS), Apache Spark, Application Integrations, Azure Data Factory, Business Intelligence (BI), Computer Science, Database Administration, Data Engineering, Data Extraction, Data Ingestion, Data Integration, Data Management, Data Modeling, Data Pipelines, Data Transformation, Data Visualization, Data ...
... Web Services (AWS), Amazon Web Services (AWS), Apache Spark, Application Integrations, Business Intelligence (BI), Computer Science, Database Administration, Data Engineering, Data Extraction, Data Ingestion, Data Integration, Data Management, Data Modeling, Data Pipelines, Data Transformation, Data Visualization, Data ...
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