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MSD Pharmaceuticals

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4.1

based on 257 Reviews

Video summary

65 MSD Pharmaceuticals Jobs

Manager, Databricks Tech

MSD Pharmaceuticals Private Limited

4.1

based on 257 Reviews

8-10 years

Hyderabad / Secunderabad

1 vacancy

Manager, Databricks Tech

MSD Pharmaceuticals

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics SQL Healthcare Clinical Data Management Life Sciences SAP Business Intelligence

+ 4 more

Job Description

Role Overview:
Are you ready to step into a leading IT role where you could help make a real difference in peoples lives? Become our new Data Integration Technology delivery lead and guide your team to deliver data-driven insights that better enable us all on our mission to bring hope to those battling the most challenging diseases of our time. If you are ready, make a difference and apply today!

What will you do in this role:

Develop and implement data engineering strategies and data mesh architectures on Databricks

Design, build, and maintain ETL/ELT pipelines using PySpark and other data engineering tools.

Collaborate with cross-functional teams to ensure data governance, security, and compliance.

Stay up to date with the latest Databricks features and advancements, implementing them into our data engineering practices.

Leverage the toolset utilized by various types of Data Engineers, ensuring seamless collaboration with cross-functional data teams across the organization.

Drive and manage the team of Data engineers to ensure the best performance during the project life cycle.

Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse.

Collaborate with Data Analysts, Data Scientists, and Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling.

Work with the data governance team to implement data quality checks and maintain data catalogs.

Use data orchestration, logging, and monitoring tools to build resilient pipelines.

Use test-driven development methodology when building ELT/ETL pipelines

Understand and apply concepts like a data lake, data warehouse, lake-house, data mesh, and data fabric where relevant

Develop data models for cloud data warehouses

Develop pipelines to ingest data into cloud data warehouses

Lead in an agile engineering environment, providing guidance on complex data and unplanned data challenges.

Collaborate with peers in the "Data Integration" and "Central Data and Analytics" teams to provide feedback about the toolset and help define product strategies.

Engage with key project stakeholders to gain insight into short-term and long-term business objectives and value delivery strategies.

Participate in negotiations with vendors to secure favorable terms and conditions.

Retain and attract diverse, exceptional talent, fostering an inclusive environment. Encourage a culture of continuous learning, constructive collaboration, and innovation within the team.

What Should you have:

Minimum of 8-10years in senior developer role of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.

Working on large data sets and handling raw SQL

Experience using technologies such as Pyspark /AWS/Databricks

Experience creating ETL Pipeline

Experience leading teams and managing projects.

Strong understanding of data governance, compliance, and security best practices.

Excellent communication and problem-solving skills, with the ability to manage multiple priorities .

Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.

Expert in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools).

Strong working knowledge of at least one large-scale data processing technology (e.g., High-performance computing, distributed computing), databases, and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases)

Cloud-native, ideally AWS certified.

Strong interpersonal and communication skills (verbal and written), effectively bridging scientific and business needs; experience working in a matrix environment.

Proven record of delivering high-quality results

Product and customer-centric approach.

Innovative thinking, experimental mindset.

Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation.