Data Engineer
- Posted 2 months ago
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Job Description
Hiring | Data Engineering | Contract | Remote
Job Title: Senior Data Engineer
Duration: Contract
Remote
Required Skills:
- Adobe web analytics user behavior data
- Must Understanding data logging methods
- Must have built data models to be consumed by downstream product and marketing teams
- Adobe Clickstream
- SQL- 1000 plus lines – very complex:
- Synthesize very large clickstream tables
- Must know how to capture data sets and synthesize using sql and build data models in sql and stich them together in the end
- Joining the marketing data set with supply chain data sets
- Python scripting for automation
- Snowflake data lake
- Heavy focus on the data modeling
- Writing scalable sql
- Retail & eCommerce experience required
More Info
Key Skills
Adobe Clickstream
Snowflake data lake
Retail eCommerce experience
clickstream tables
data logging methods
scalable SQL
Adobe web analytics
About Company
Skills:
Aws Lambda, Data Modeling, Aws Redshift, Pyspark, AWS Glue, Apache Spark, AWS Athena, Sql, ELT, Git, AWS IAM, Data Warehousing, Python, Aws S3, Etl, Airflow, AWS EMR, AWS Step Functions, CI CD
Skills:
snowflake , Azure Databricks, Json, ELT, Data Integration, Excel, Data Modelling, Azure DevOps, Apis, Csv, Data Warehousing, Sql, Git, Azure Data Factory, Powerbi, Xml, Etl, GenAI use cases, PDFs, AI-assisted data processing workflows, Data pipelines, Data ingestion frameworks, Data Analysis, ADLS Gen2, Vector search embeddings, Synapse, AI ML concepts, CI CD pipelines
Skills:
Power Bi, Power Automate, Power Query, Sql, Microsoft 365, Dax, Data Analytics, Python, Root Cause Analysis, Process Automation, Dashboard Development, Sharepoint, KPI Reporting, ETL Data Pipelines
Skills:
T-sql, Query Optimization, Backup And Recovery, Sql Server Administration, Performance Tuning, Execution Plans, Statistics, Production Support, Indexing
Skills:
BigQuery, Hadoop, Scala, Apache Spark, Kafka, Informatica, Sql, Hive, Javascript, Spark, DataFlow, Python, Cloud Functions, CloudSQL, Relational and non-relational databases, GCP cloud services, Cloud Composer, GCS, Pub/Sub, ETL pipelines