Python Developer

SQL, Python, Pandas, Data Analytics Framework, DBs, SQL/NoSQL, Rest API, Javascript, Kafka, zookeeper, Apache Spark, Hadoop cluster/HDFS, java, Docker, streamsets, Linux
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

Python Developer

Boston, MA

Full Time Position

Job Description:

Good with scripting - Python, Pandas (data analytics framework)

Experience in DBs SQL/NoSQL

UI development experience JavaScript s, angular JS, D3.Js, Highcharts

Big Data exposure Hadoop , handling large data processing real-time streaming, batch processing

ML Experience Spark ML, Scikit-Learn, TensorFlow, NLP, etc .

8+ years of solid industrial application development experience with at least 2+ years development expertise with big data ecosystem such as Kafka, zookeeper, ELK, Apache Spark, Hadoop cluster/HDFS, etc.

Must have excellent Java, Python, Rest API, Javascript, SQL skills and software development experience in a large scale distributed application environment

Good knowledge with different database technologies, such as in memory Redis database, distributed time series OpenTSDB DB.

Solid performance tuning, configuration and development experiences with Kafka producer/consumer/avro schema.

Solid configuration and development experience with Streamsets, ELK, logstash, RabbitMQ

Solid configuration and application development experience with Docker container.

Solid working experience in security configuring of SSL/TLS, LDAP for Streamsets, ELK, Kafka/Zookeeper as well as encryption implementation for data at rest

Advanced Ansible automation development and test automation skill

Experience with UI virtualization tools such as Grafana

Experience with Linux environment including os installation, IPv6 and IPv4, disk /file system configuration

Experience with virtualization environment such as hypervisor, Vmware ESXi, Openstack

Knowledge with network management, syslog, snmp mib and etc

Must be self-starter, fast learner and be able to complete tasks with high quality on time under minimal supervision.

Must be flexible and willing to working with global project team members in different time zones.

Nice to have:

Experience with UCS setup, network configuration

Knowledge of machine learning algorithms

Experience with Spark Mlib

Dice Id : 90887101
Position Id : 6025825
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