Data Engineer

2 days ago

Hyderabad Secunderabad Telangana, India beBeeDataEngineer Full time ₹ 1,04,000 - ₹ 1,30,878

In this crucial position, you will develop and implement advanced data engineering solutions for scientific research that drive business decisions. You will build scalable and high-performance data pipelines for large datasets and collaborate with global partners. The ideal candidate possesses deep technical expertise, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes.

Key Responsibilities
  • Data Engineering Expertise: Develop and maintain complex data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency.
  • Team Leadership & Mentorship: Lead, manage, and mentor a high-performing team of data engineers, fostering their development and ensuring adherence to best practices.
  • Data Pipeline Development: Design, develop, and implement data pipelines, ETL processes, and data integration solutions. You will take ownership of data pipeline projects from inception to deployment, managing scope, timelines, and risks.
  • Collaboration & Solution Design: Collaborate with cross-functional teams to understand data requirements and design end-to-end solutions that meet fast-paced business needs.
  • Data Security & Compliance: Implement data security and privacy measures to protect sensitive data.
Required Skills
  • Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks.
  • Hands-on experience with big data technologies and platforms, such as Databricks and Apache Spark (PySpark, SparkSQL).
  • Expertise in workflow orchestration and performance tuning on big data processing.
  • Good understanding of data modeling, data warehousing, and data integration concepts.
  • Knowledge of cloud data platforms (AWS preferred).
Qualifications
  • A Doctorate Degree, or a Master's degree with relevant experience, or a Bachelor's degree with extensive experience, or a Diploma with a substantial background in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or a related field.
  • Experience in implementing and supporting biopharma scientific research data analytics (software platforms) is preferred.
Soft Skills
  • Problem-Solving: Excellent critical-thinking and problem-solving skills, with the ability to work with large, complex datasets.
  • Communication: Good communication and collaboration skills, with demonstrated presentation abilities.
  • Leadership: Ability to engage with business stakeholders and mentor teams to develop data pipelines and data models.
  • Proactiveness: A passion for tackling complex challenges in drug discovery with technology and data.

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