Data Architect (PySpark, Python, Spark, ETL)

Lahore, Punjab, Pakistan
Full Time
Data Engineering
Experienced
NorthBay Solutions, with a team of 400+ professionals, is a US-based premier AWS partner and the only premier-level partner in the region. We have been serving our clients globally and providing AWS Big Data, Data Lake & Data Warehousing solutions for over a decade now. 

We are currently recruiting for a Tech Lead/Architect with solid experience in data engineering and a passion for Big Data. The ideal candidate will have experience of overall 12+ years and 5+ years specifically in data engineering.

Technology Stack Used & Required Knowledge:
  • Must have 12+ years experience of developing and implementing pipelines on AWS cloud that extract, transform, and load data into an information product that helps the organization reach its strategic goals
  • Must have experience on ETL Data Engineer, Python, Bigdata (PySpark, Spark SQL, Hadoop, Hive) and/or Java
  • Experience in creating and driving large-scale ETL pipelines in AWS-based environment
  • Experience with integration of data from multiple data sources.
  • Overall 5+ years of relevant work experience in Big data engineering, ETL, Data Modeling, and Data Architecture.
  • Strong software development and programming skills with a focus on data using Python/ PySpark and/or Scala for data engineering.
  • Experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR/Spark, Glue, Lambda, Athena, and Redshift will be a plus
  • Experience with the AWS data management tools such as Data lake and Databricks or AWS Snowflake is a plus
To keep it short, below are some key responsibilities:
  • Design and develop using Big Data technologies.
  • Design and develop cutting edge Big Data, and Cloud technologies to build critical, highly complex distributed systems from scratch
  • Design, develop and manage complex ETL jobs and pipelines. 
  • Act as a critical thought leader, consulting and mentoring other teams as your new systems transform the way this entire firm leverages data
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