Senior Data Engineer
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Job Description
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
- 5+ years of experience in data engineering or related roles.
- Strong expertise in HVR or Fivetran for data replication and ingestion.
- Hands-on experience with SnapLogic for integration and automation.
- Proficiency in DBT for data modeling and transformation.
More Info
About Company
Skills:
object storage , Kafka, Presto, Spark, Streaming, OLAP, Data Lake, Airflow, cdc, ClickHouse, Iceberg, Hudi, Delta, Dagster, Trino, Open Table Formats, Unity Catalog, DataHub, Data Catalog Governance Tooling, Lakehouse, dbt, Glue, Batch ETL
Skills:
snowflake , Data Quality, Data Modeling, Python, Sql, Etl, ELT, dbt, Snowflake performance optimization, Data Validation
Skills:
snowflake , Python, Sql, MLops, Apis, Data Warehousing, Data Governance, Airflow, Go, Temporal, ETL processes, workflow-based systems, monitoring and observability tooling, dbt
Skills:
Pyspark, Github, Ecc, Kafka, Sql, Sap Bw, Azure Cloud, Sap Hana, Bw, SAP Data Intelligence, Databricks, Python, Azure Devops, AWS, Airflow, Event hub, Data Bricks, Data ingestion pipeline design, dbt, SAP S4
Skills:
Apache Airflow, Pyspark, Databricks, Advanced Sql, Python, Etl, Cloud Platforms, dbt