Lead Data Engineer 4C
Jobgether (company site, opens in a new tab)RemoteDirect career pageEst. 25–45 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead a data engineering team to design and deliver scalable and reliable Big Data pipelines and ETL solutions.
- Ensure data quality, security, and system performance while collaborating with business and technical stakeholders to translate requirements into architecture.
- Provide technical leadership, mentorship, promote best practices, and drive continuous improvement in data engineering workflows including CI/CD and documentation.
Minimum Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, or related field; master's in Data Science also relevant.
- Strong professional data engineering experience with enterprise Big Data solutions and leading data engineering teams.
- Proficiency with Apache Spark, Apache Kafka, Apache Airflow, Databricks, Snowflake, AWS Data Pipeline, SQL, CI/CD, Git, and Terraform.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in translating complex business requirements into scalable and secure Big Data solutions in a global technology environment.
- Demonstrated leadership in mentoring data engineers and promoting best practices within data engineering teams.
- Familiar with advanced Big Data platforms and tools including Databricks, Snowflake, and cloud-based data integration and performance tuning.