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Jobs or company...
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Python Developer AWS

  • Full Time, onsite
  • NimbusAITech LLC
  • Hybrid3 days a week, United States of America
Salary undisclosed

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Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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  • IT Professional with over 7 years of performance excellence in which 5+ years in Python Development.
  • Experienced in developing Application software s using Python and Big data Technologies.
  • Experience in analyzing data and creating data pipelines using Python, SQL, Microsoft Excel, Hive, PySpark, Spark SQL for Data Mining, Data Cleansing, Data Munging and Machine Learning.
  • Experience working in Telecommunication, Healthcare, Education.
  • Experience in developing ETL pipelines to collect data from different sources and load into target databases.
  • Sound knowledge in Data Quality & Data Governance practices & processes.
  • Good experience in developing web applications implementing Model View Control (MVC) architecture using Django, Flask and Python web application frameworks.
  • Experience working with Telecom, Healthcare and Educational data.
  • Extensive experience in Big Data Cluster, Amazon Web Services (EC2, S3, RDS, Elastic Load Balancing, MQ, Lambdas, SQS, IAM, Cloud Watch, EBS and CloudFormation).
  • Proficient in Postgres, Teradata, Hive, DB2, SQLite, MySQL, and other SQL databases with Python.
  • Experienced in working with various Python IDE s using PyCharm, PyScripter, Notebook, Spyder, Studio code, IDLE, NetBeans and Sublime Text.
  • Good experience in writing Spark applications using Python and Scala.
  • Experience with Requests, NumPy, SciPy, Pytables, cv2, imageio, Python-Twitter, Matplotlib, HTTPLib2, Urllib2, Beautiful Soup, Data Frame and Pandas python libraries during development lifecycle.
  • Hands-on experience in handling database issues and connections with SQL and NoSQL databases like MongoDB, DynamoDB by installing and configuring various packages in python.
  • Extensive experience in ETL (Extraction, Transformation and Loading) of data using Informatica Power Center from heterogeneous sources like Flat files (Fixed width, delimited), XML files, Relational databases.
  • Strong understanding of Dimensional Modeling, Star, Snowflake Schema, OLAP and Data warehousing
  • Worked on standard python packages like boto and boto3 for AWS.
  • Hands on Experience in AWS like Amazon EC2, Amazon S3, Amazon Redshift, Amazon EMR and Amazon SQS.
  • Strong ability to conduct qualitative and quantitative analysis for effective data-driven decision making.
  • Conducted ad-hoc data analysis on large datasets from multiple data sources to provide data insights and actionable advice to support business leaders according to self-service BI goals.
  • Experience in data preprocessing, data analysis, machine learning to get insights into structured and unstructured data.
  • Experienced in developing big data stack like pyspark, hadoop, hive, oozie script.
  • Good Knowledge in writing different kinds of tests like Unit test/Pytest and build them.
  • Experienced with version control systems like Gitlab, GitHub to keep the versions and configurations of the code organized.
  • Experienced developing CICD pipelines using screwdriver, Junkins etc to automate code deployment.
  • Developed CICD yaml scripts to integrate and deploy code.
  • Developed python scripts to automate Data Analysis.
  • Extensive experience in Amazon Web Services (Amazon EC2, Amazon S3, Amazon

Simple DB, Amazon RDS, Amazon Elastic Load Balancing, Amazon MQ,

  • Experienced in working with various Python IDE s using PyCharm, PyScripter, Spyder,

PyStudio, PyDev, IDLE, NetBeans and Sublime Text

  • Good experience in using WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP

(Linux, Apache, MySQL, and Python/PHP) Architectures.

  • Experience working with message queue services like Apache Kafka, Rabbit MQ, Active MQ.
  • Experienced with containerization and orchestration services like Docker, Kubernetes.
  • Strong experience in developing Web Services like REST, Restful with Python programming language.
  • Well versed with Agile with SCRUM, Waterfall Model and Test-driven Development (TDD) methodologies.
  • Good Experience in Linux Bash scripting and following PEP-8 Guidelines in Python.
  • Extensive experience in developing dashboards, reports using tools like Tableau, SSRS e.t.c.
  • Extensive Knowledge on developing Spark SQL.
  • Executed complex HiveQL queries for required data extraction from Hive tables and written Hive UDF s.
  • Excellent Interpersonal and communication skills, efficient time management and organization skills, ability to handle multiple tasks and work well in a team environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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