Project Manager - Data Engineering

10 Hours ago • 5-7 Years

Job Summary

Job Description

As a Data Engineer, you will design, implement, and maintain data infrastructure and pipelines. You will collaborate with cross-functional teams to understand data requirements and develop solutions, ensuring data integrity and availability. Key responsibilities include translating business requirements into analytics solutions, designing and maintaining scalable data pipelines, supporting enterprise data platforms, implementing data quality processes, and optimizing pipelines for performance. The role involves working within an Agile framework and researching new technologies.

Must have:

Experience as a Data Engineer with relevant experience.
Proficiency in SQL, Python, Pyspark, and Big data.
Experience with data modeling and ETL processes.
Experience with relational SQL and NoSQL databases.

Good to have:

Knowledge of the pharma industry.
Experience with cloud computing services (AWS, Azure).

8 skills required

8 skills required for this role

Add these skills to join the top 1% applicants for this job

azure

nosql

aws

python

sql

data-analytics

agile-development

cross-functional

Job Details

We are seeking a talented and experienced Data Engineer proficient in cloud computing to join our team as a Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure and pipelines. You will work closely with cross-functional teams to understand data requirements, develop robust data solutions, and ensure data integrity and availability

Key Responsibilities:

Translate business requirements into analytics solutions ranging from data storage, ETL (extract/transform/load), and data modeling for business consumption i.e. APIs, EventStreaming, etc.
Design, develop, and maintain scalable data pipelines and ETL processes
Responsible to support and enhance enterprise data platforms
Collaborate with data scientists, analysts, and software engineers to understand data needs and implement effective data solutions
Implement data quality and validation processes to ensure data accuracy and consistency
Optimize and tune data pipelines for performance and efficiency
Work with stakeholders to understand business requirements and translate them into technical solutions
Research and evaluate new technologies and tools to enhance data processing capabilities
Work in Agile framework and ceremonies with PM/SM and ensure systems meet business requirements and industry practices

Requirements-

Bachelors degree in computer science, Information Technology, or related field.
Proven experience as a Data Engineer or similar role, with 5-7 years relevant experience.
Strong proficiency in SQL, Python, Pyspark and Big data.
Experience with data modeling, ETL processes, and data warehousing.
Experience with relational SQL and NoSQL databases

Preferred: Knowledge of pharma industry, experience with cloud computing services (AWS, Azure).

2 Days WFO Mandatory

Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.