Sr. Data Engineer 4B
Jobgether (company site, opens in a new tab)RemoteDirect career pageEst. 16–28 LPA
Posted 2d ago
Reach people at Jobgether
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Jobgether you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data processing systems and pipelines for large volumes of structured and unstructured data.
- Collaborate with data scientists and analysts to translate data requirements into technical solutions, ensuring data quality and system performance.
- Troubleshoot data pipeline and infrastructure issues; mentor junior data engineers and promote best engineering practices.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, Data Science, Statistics, or related field.
- Strong professional experience in data engineering with scalable data solution design and implementation.
- Proficiency in Python; experience with Apache Spark, Apache Kafka, cloud platforms (including Databricks), Snowflake, and performance optimization.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced senior-level data engineer skilled in large-scale data pipeline architecture within cloud and big data ecosystems.
- Demonstrates strong operational focus on system reliability, performance tuning, and data quality assurance.
- Capable of collaborating cross-functionally with data scientists and analysts and mentoring junior engineers effectively.