About the role
Data Engineering Lead Engineer to build and scale data platforms with Hadoop and Spark.
- •This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment.
- •For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies.
- •Key Responsibilities Grow analytics capabilities with faster, more reliable tools, handling petabytes of data every day.
- •Brainstorm and create new platforms for low latency and horizontal scalability.
- •Design and develop a real-time events pipeline for Data ingestion for real-time dashboarding.
- •Develop complex and efficient functions to transform raw data sources into reliable components of our data lake.
- •Design & implement new components and various emerging technologies in Hadoop Eco-System.
- •Requirements 4 to 8 years of experience in Big Data technologies.
- •Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.
- •Excellent programming/debugging skills in Python/Java/Scala.
Tech stack
SparkPythonJavaScalaBashCassandraAWSS3Redis
Match insights
Tech:Spark, Python, Java, Scala, Bash
Level:Lead