Manager, Data Engineer
- Merck Sharp
- 4 - 8 years
- Hyderabad
- 16 days ago
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Job Description
Manager, Data Engineer
- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. A n integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
- A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers .
Role Overview:
For the Data Engineer role, we are looking for professional with experience in designing, developing, and maintaining data pipelines. We intend to make data reliable, governed, secure and available for analytics within the organization. As part of a team this role will be responsible for data management with a broad range of activities like data ingestion to cloud data lakes and warehouses, quality control, metadata management and orchestration of machine learning models. We are also forward looking and plan to bring innovations like data mesh and data fabric into our ecosystem of tools and processes.
What will you do in this role:
- Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse.
- Develop the various data transformation rules and data modeling capabilities.
- Collaborate with Data Analyst, Data Scientists, Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling.
- Work with data governance team and implement data quality checks and maintain data catalogs.
- Use Orchestration, logging, and monitoring tools to build resilient pipelines.
- Use test driven development methodology when building ELT/ETL pipelines.
- Develop pipelines to ingest data into cloud data warehouses.
- Analyze data using SQL.
- Use serverless AWS services like Glue, Lambda, Step Functions
- Use Terraform Code to deploy on AWS.
- Containerize Python code using Docker.
- Use Git for version control and understand various branching strategies.
- Build pipelines to work with large datasets using PySpark
- Develop proof of concepts using Jupyter Notebooks
- Work as part of an agile team.
- Create technical documentation as needed.
What Should you have:
- 4-8 years of relevant experience
- Good experience with AWS services like S3, ECS, Fargate , Glue,
- Any AWS developer or architect certification
- Agile development methodology
- Step Functions , CloudWatch, Lambda, EMR
- SQL
- Proficient in Python, PySpark
- Good with Git, Docker, Terraform
- Ability to work in cross functional teams
- Bachelor s Degree or equivalent experience in a relevant field such as Engineering (preferably computer eng ineers .), Computer Scienc e
Our t echnology 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 .
Who we are:
What we look for:
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, S you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us and start making your impact today.
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Employee Status:
Regular Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills:
Job Posting End Date:
01/31/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Merck SharpLocation(s): Hyderabad
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Keyskills: Data management Data modeling Database administration Healthcare Information management Manager Quality Control Business intelligence Business solutions Analytics SQL
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