We are looking for a Data Engineering (DE) Practice Leader who will provide strategic direction and broad oversight for our high-performing Data Engineering team that maintains, integrates and implements modern data engineering practices and technologies.
This role requires a blend of architecture experience, executive polish, business sense, and especially technical depth.
If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at BLEND360.
Required Skills and Experience
10+ years of hands-on Experience with crafting and building large scale data pipelines in distributed environments with technologies such as Hadoop, Spark, Kafka, Hive etc.
Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB.
Proven skills in designing, tuning & optimizing scalable, highly available distributed systems which can handle high data volumes.
Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
Strong experience of working with APIs and integrating multiple applications together.
Proficient & hands-on in Python is a must.
Good Experience with modern engineering practices and technologies including CICD, Cloud native development, social coding (github), chatops and more.
Good data modelling experience to address scale and read / write performance.
Excellent written and oral communication skills on both technical and non-technical topics.
Excellent general analytical & problem solving skills.
Experience with cloud computing platform like AWS or GCP is a plus.