Senior Specialist, Lead Data Engineering

MSD

Lead Data Engineer role at a global healthcare biopharma company. Architecting and building scalable data platforms to drive innovation in healthcare.

Posted 6/23/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudPythonSparkSQL

About the role

Key responsibilities & impact

Lead the design and implementation of end-to-end data engineering solutions
Architect and optimize large-scale data pipelines using Spark, Python, and SQL
Design and manage orchestration frameworks using Apache Airflow
Build scalable and cost-efficient solutions on AWS ecosystem (S3, Glue, Redshift, Lambda)
Drive development and optimization of Databricks-based data platforms
Mentor and guide data engineering teams
Collaborate with cross-functional stakeholders to deliver business value

Requirements

What you’ll need

Bachelor’s/Master’s degree in Computer Science or related discipline
9+ years of experience in data engineering (Lead role)
Strong expertise in SQL, Python, and Apache Spark
Extensive hands-on experience with Apache Airflow
Deep experience with AWS cloud services (S3, Glue, Redshift, Lambda)
Strong experience building solutions on Databricks platform
Proven experience in data architecture, modeling, and big data systems
Experience leading engineering teams and projects
Strong analytical, problem-solving, and communication skills

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringSQLPythonApache SparkApache AirflowAWSDatabricksdata architecturedata modelingbig data systems

Soft Skills

mentoringcollaborationanalytical skillsproblem-solvingcommunication skills

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science