
Data Engineer
2 weeks ago
Ascendeum is looking for veterans with extensive hands-on experience in the field of data engineering to build cutting-edge solutions for large-scale data extraction, processing, storage, and retrieval.
About Us :
We provide AdTech strategy consulting to leading Internet websites and apps globally hosting over 200 million monthly worldwide audiences.
Since 2015, our team of consultants and engineers have been consistently delivering intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.
Job Responsibilities :
- Understand long-term and short-term business requirements to precisely match them with the capabilities of different distributed storage and computing technologies from the plethora of options available in the ecosystem.
- Create complex data processing pipelines.
- Design scalable implementations of the models developed by our Data Scientists.
- Deploy data pipelines in production systems based on CICD practices.
- Create and maintain clear documentation on data models/schemas as well as transformation/validation rules.
- Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers.
Desired Skills and Experience :
- 4+ years of overall industry experience building and deploying large scale data processing pipelines in a production environment
- Experience building data pipelines and data centric applications using distributed storage platforms such as HDFS, S3, NoSql databases (Hbase, Cassandra, etc); and distributed processing platforms such as Hadoop, Spark, Hive, Oozie, Airflow, etc.
- Hands on experience with MapR, Cloudera, Hortonworks, and/or Cloud (AWS EMR, Azure HDInsights, Qubole, etc.) based Hadoop distributions
- Practical experience working with well know data engineering tools and platforms Kafka, Spark, Hadoop
- Solid understanding of Data Modelling, ML and AI concepts
- Fluent in programming languages like Nodejs/Java/Python
Education : B.E / B Tech /M tech / MS
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