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Sr. Data Engineer

3 months ago

Portland, United States Cloudious LLC Full time
Job DescriptionJob Description

Key Responsibilities:

  • Collect, organize, and analyse large sets of data from various sources.
  • Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
  • Interpret data, analyse results using statistical techniques, and provide ongoing reports.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Work closely with the ETL / DE team to ensure data integrity, quality and security.
  • Perform data mining and analyse data to identify opportunities for improvement.
  • Build End to End ETL pipelines on Databricks
  • Create Automated Workflows, Manage clusters, experience with autoloader
  • Data modelling experience with Snowflake and Star Schema
  • Prior ETL orchestration experience in Airflow
  • Data ingestion techniques using kafka and flume
  • Worked with processing data from various file types like csv, json, parquet
  • Worked on End-to-end pipeline construction using AWS services like EMR, EC2, Cloud Watch, Lambda, Redshift
  • Data Processing techniques in Snowflake
  • Strong hold on Pyspark Coding as well as Spark optimizationa
  • Worked on Big Data Services like Apache Hive, Spark, Hadoop, Sqoop
  • Strong SQL Skills with good experience in SQL tuning


Qualifications:

  • Proven working experience as a Data/Big Data Engineer Analyst.
  • Technical expertise regarding data models, database design development, data flow, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (ETL frameworks or Python).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.
  • Experience with data visualization tools such as Tableau, COGNOS
  • Excellent communication and presentation skills.
  • Prior experience of working with Finance data is good to have.