Data Architect TECHM-JOB-24563

Keylent, Inc.

$100K — $140K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 9+ years of experience in Data Solutions
  • Proficient in Python, Spark, Scala, or equivalent
  • Experience with distributed data technologies like Spark and Kafka
  • Familiarity with AWS S3 and Snowflake cloud data warehouse
  • Knowledge of handling large data sets including JSON, ORC, PARQUET, CSV
  • Experience with SnowSQL and SNOWPIPE for data ingestion

Responsibilities

  • Design and implement data architecture for cloud platforms
  • Build and maintain large scale data pipelines
  • Transform and integrate data in AWS Redshift and Snowflake
  • Utilize SCD techniques for data management
  • Write complex SQL for ETL processes
  • Manage data ingestion processes continuously using Snowpipe

Benefits

  • Opportunities for professional development
  • Flexible working arrangements
  • Collaborative work environment
  • Health and wellness programs
  • Access to advanced technology and tools
Full Job Description
Data Architect TECHM-JOB-24563
Location: Denver CO
Skill: Python for Data Analysis

Having 9+ years of relevant experience in delivering Data Solutions on variety of Data Warehousing, Big Data and Cloud Data Platforms. • Implementing SCD Techniques like slowly changing dimensions (type1, type2 and type3). experience working with distributed data technologies (e.g. Spark, Kafka etc) for building efficient, large scale `big data¿ pipelines Strong Software Engineering experience with proficiency in at least one of the following programming languages: Spark, Python, Scala or equivalent • Experience in working with AWS S3 and Snowflake cloud data warehouse. • Experience in Transforming/integrating the data in Redshift/Snowflake • Handling large and complex data sets like JSON, ORC, PARQUET, CSV files from various sources like AWS S3. • Good exposure in Snowflake Cloud Architecture and SnowSQL and SNOWPIPE for continuous data ingestion. • Hands on experience in bulk loading and unloading data into Snowflake tables. Experience in writing complex SQL scripts using Statistical Aggregate functions and Analytical functions to support ETL in snowflake cloud data warehouse.

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