Overview
Role: Data Engineer
Job Title: Senior Manager / Chief Manager
Work Experience: 4 years +
Education: Engineering Graduate
Department: Data Science
Work location: Goregaon (East), Mumbai
About the Rol
e:We are seeking a highly skilled Data Engineer with 4–6 years of hands-on experience in designing and developing scalable, reliable, and efficient data solutions. The ideal candidate will have a strong background in cloud platforms (AWS or Azure), experience in building both batch and streaming data pipelines, and familiarity with modern data architectures including event-driven and medallion architecture
s.
Key Responsibiliti
es:•Design, build, and maintain scalable data pipelines (batch and streaming) to process structured and unstructured data from various sourc
es.•Develop and implement solutions based on event-driven architectures using technologies like Kafka, Event Hubs, or Kines
is.•Architect and manage data workflows based on the Medallion architecture (Bronze, Silver, Gold layer
s).•Work with cloud platforms (AWS or Azure) to manage data infrastructure and storage, compute, and orchestration servic
es.•Leverage cloud-native or open-source tools for data transformation, orchestration, monitoring, and quality chec
ks.•Collaborate with data scientists, analysts, and product manager to deliver high-quality data solutio
ns.•Ensure best practices in data governance, security, lineage, and observabili
ty.Required Skills & Qualificatio
ns:•4–6 years of professional experience in data engineering or related rol
es.•Strong experience in cloud platforms: AWS (e.g., S3, Glue, Lambda, Redshift) or Azure (e.g., Data Lake, Synapse, Data Factory, Function
s).•Proven expertise in building batch and streaming pipelines using tools like Spark, Flink, Kafka, Kinesis, or simil
ar.•Practical knowledge of event-driven architectures and experience with message/event broke
rs.•Hands-on experience implementing Medallion architecture or similar layered data architectur
es.•Familiarity with data orchestration tools (e.g., Airflow, Azure Data Factory, AWS Step Function
s).