Senior Data Engineer

LTM

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Hadoop programming with a focus on HDFS using Pyspark
  • Proficient in Big Data technologies such as Hive and Hadoop
  • Demonstrated expertise in Pyspark programming languages
  • Familiar with organizational strategies and architectural patterns like Microservices and Event Driven architecture
  • Proven ability to analyze large data sets and make independent project decisions
  • Strong understanding of data structures and algorithms
  • Expertise in SQL and data processing optimization

Responsibilities

  • Develop and maintain Pyspark applications for data processing
  • Work with large data sets, ensuring optimal data ingestion and processing
  • Collaborate with teams to align technology solutions with organizational strategy
  • Debug and resolve technical issues within established service level agreements
  • Design software that prioritizes testability and observability
  • Identify business problems and propose effective software solutions
  • Guide and coach team members on best practices in data architecture

Benefits

  • Opportunity for professional growth through training and development
  • Access to cutting-edge tools and technologies
  • Collaborative work environment with strong team support
  • Flexible work schedule options
  • Comprehensive health and wellness programs
Full Job Description
Role description

Job Role : Python Pyspark Developer:

Location : Irving,Texas

At least 5 years of development work experience in Hadoop programming HDFS using pysparkHive based Data warehouse projects and with good Shell Scripting experience

Experience in Big Data technologies including Pyspark Hive and Hadoop

Experience in Pyspark programming languages

You have a good understanding of organizational strategy architecture patterns Microservices Event Driven and technology choices and coaching the team in execution in alignment to these guidelines

You can apply organizational technology patterns effectively in projects and make recommendations on alternate options

You have handson experience working with large volumes of data including different patterns of data ingestion processing batch realtime movement storage and access for both internal and external to BU and ability to make independent decisions within scope of project

You have a good understanding of data structures and algorithms

You can test debug and fix issues within established SLAs

You can design software that is easily testable and observable

You understand how teams goals fit a business need

You can identify business problems at the project level and provide solutions

You understand data access patterns streaming technology data validation data performance cost optimization

Strong SQL skills

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