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Job Title: Data Engineer
Location: 100% Remote
Employment Type: Full-time
About the Role
We are seeking a highly skilled Data Engineer with expertise in modern data integration and transformation tools. The ideal candidate will have hands-on experience with HVR or Fivetran, SnapLogic, and DBT, and will be responsible for building, optimizing, and maintaining scalable data pipelines to support analytics and business intelligence initiatives.
Required Skills & Qualifications
Job ID: 152254193
Skills:
Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake
Skills:
BigQuery, DataFlow, Talend, Python, Sql, ELT, Etl, Pub Sub, dbt
Skills:
snowflake , Terraform, Snowpipe, Kafka, Sql, Python, Airflow, cdc, dbt
Skills:
snowflake , PostgreSQL, BI, Informatica, Data Migration, Python, AWS, Pyspark, Ml, SQL Server, Redshift, Sql, UNIX, Linux, Powerbi, MongoDB, Data Warehouse, Aws S3, Etl, Fivetran, Ai, Looker, Cloud Data Warehouse, dbt, Hyperion
Skills:
Kafka, Data Modeling, Redshift, Sql, ELT, Apache Airflow, Spark, Python, Etl, Pinot, observability practices, ClickHouse, data quality frameworks, Flink, Glue Jobs, Iceberg, OLAP databases, dbt