Role : Manage - Data Engineer
Job Type : Work From Home
Shift : 12 pm to 9 pm ist
Skills : qualifications :
- Bachelors degree in Computer Science, Information Systems, Software Engineering, or related field.
- Masters degree in Data Engineering, Big Data, (preferred but not required).
Relevant experience :
610 years of experience in data engineering, ETL development, or data warehousing, with at least 2 years in a team lead or managerial capacity.Hands-on experience building and maintaining data pipelines, preferably in Fintech, Banking, or high-volume transactional environments.Deep knowledge of data lakehouse architecture, real-time streaming, and batch processing systems.Proven ability to collaborate with data scientists, analysts, and product teams to deliver trusted, high-quality data products.Required certifications :
Preferred : Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer AssociateApache Spark, Kafka, responsibilities :Design, develop, and maintain scalable, reliable data pipelines and integration workflows across multiple systems.Lead a team of data engineers to build and support enterprise-grade data platforms.Ensure data quality, lineage, and governance are embedded in engineering solutions.Optimize data ingestion, transformation, and storage in cloud and hybrid environments.Collaborate with architecture, governance, and analytics teams to ensure alignment with business needs and platform strategy.Stay current with evolving data engineering best practices and emerging technologies.(ref : hirist.tech)