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Big Data Lead Engineer_DGLiger

Roles & Responsibilities

  • Proficiency in PySpark and SQL with strong data modeling and data engineering concepts
  • Cloud computing experience (AWS/Azure or other cloud) for big data solutions
  • Experience with batch/real-time processing technologies (Airflow, Databricks, HDFS, Redshift, Hadoop, AWS EMR)
  • Familiarity with Git, CodeCommit, Jenkins, CodePipeline and CI/CD practices in an Agile, cross-functional environment

Requirements:

  • Develop, test, and maintain PySpark/Python data pipelines and analytics solutions on AWS-based big data environments to generate analytics insights
  • Collaborate with Functional Analysts to understand requirements, design data models, and create design documents; implement data solutions aligned with finalized designs
  • Ensure adherence to Security and Compliance policies; apply governance and best practices; participate in Agile ceremonies and cross-functional collaboration with QA and DevOps
  • Stay up-to-date with evolving cloud technologies and development practices (open-source software); contribute to code reviews and CI/CD pipelines

Job description

Must to have skills: Pyspark, SQL, Cloud computing(AWS/Azure or any other cloud)  

JOB DESCRIPTION
§ Work with extremely talented peers in a client environment to build new and enhance/maintain existing PySpark, Python codes that generates analytics insights leveraging the big data environment in AWS
§ Proficiency in SQL Writing, SQL Concepts, Data Modelling Techniques & Data Engineering Concepts 
§ Experience in working with batch processing / real-time systems using various technologies like Airflow, Databricks, HDFS, Redshift, Hadoop, Elastic MapReduce on AWS
§ Familiar with tools like Git, Code Commit, Jenkins, Code Pipeline
§ Work in a Cross functional team along with other Data Engineers, QA Engineers and DevOps Engineers.
§ Work with Functional Analysts to understand the core functionalities of the solution and build Data Models, Design Documents
§ Develop, test and implement data solutions based on finalized design documents.
§ Ensure adherence with Security and Compliance policies
§ Stay up-to-date with evolving cloud technologies and development best-practices including open-source software.
§ Work in an Agile Environment

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