Job Overview

Location
New York, New York
Job Type
Full Time
Date Posted
6 months ago

Additional Details

Job ID
22057
Job Views
141

Job Description

  • Design & Build data pipelines with an emphasis on scale, performance and reliability.
  • Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
  • Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
  • Partner with the data teams, enterprise architecture organization to ensure best use of standards for the key data domains and use cases
  • Continuous learner with an eye on emerging trends around data lake architecture and enterprise data solutions.
  • Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards
  • Bachelors or Masters degree in Computer Science or Information Technology
  • 8+ years of experience building solutions in big data technologies.
  • Strong experience programming with more than one of Java, Scala, Python, Spark.
  • Hands-on experience designing and building streaming data pipelines using Kafka, Confluent etc.
  • Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
  • Strong understanding of database and analytical technologies in the industry including MPP and NoSQL databases
  • Strong understanding of cloud platforms like AWS, Azure, or GCP, and their services (e.g., EC2, S3, AKS, EKS, etc.). AWS or any public cloud certification is a must.

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