Senior Software Engineer - Bigdata

Must Have skills:

Deep understanding of Linux, networking fundamentals and security.

Experience working with AWS cloud platform and infrastructure

Experience managing large BigData clusters in production (at least one of -- Cloudera, Hortonworks, EMR)

Excellent knowledge and solid work experience providing observability for BigData platforms using tools like Prometheus, InfluxDB, Dynatrace, Grafana, Splunk etc.

Expert knowledge on Hadoop Distributed File System (HDFS) and Hadoop YARN.

Decent knowledge of various Hadoop file formats like ORC, Parquet, Avro etc.

Deep understanding of Hive (Tez), Hive LLAP, Presto and Spark compute engines.

Ability to understand query plans and optimize performance for complex SQL queries on Hive and Spark.

Solid professional coding experience with at least one scripting language - Shell, Python etc.

Experience working with Data Analysts, Data Scientists and at least one of these related analytical applications like SAS, R-Studio, JupyterHub, H2O etc.

Able to read and understand code (Java, Python, R, Scala), but expertise in at least one scripting language.

Requirements

Nice to have skills:

Experience at EMR & Terraform

Experience supporting Spark with Python (PySpark) and R (SparklyR, SparkR) languages

Experience with workflow management tools like Airflow, Oozie etc.

Python programming experience.

Knowledge in analytical libraries like Pandas, Numpy, Scipy and PyTorch etc.

Implementation history of Packer, Ansible, Chef, Jenkins or any other similar tooling.

Prior working knowledge of Active Directory and Windows OS based VDI platforms like Citrix, AWS Workspaces etc.

Additional information

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