Data Engineer
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Job Description
Role: Data Engineer
Type: Freelance/Contract
Duration: 6+ month
Experience: 6-8 Years
Requirements:
- Expertise in Data Vault 2.0 and dimensional modeling principles.
- Expertise in modular ELT pipelines using dbt for data transformation and version control.
- Hands-on experience working on cloud data warehouses on Snowflake, including query tuning, cost optimization, and secure data sharing.
- Expertise in advanced SQL for analytics, transformations, and performance optimization.
- Expertise in DevOps, including best practices with CI/CD pipelines, automated testing, and environment management.
- Leverage GitHub for source control, branching strategies, and team collaboration.
- Work in Agile/Scrumenvironments to deliver iterative value.
More Info
Key Skills
Data Vault 2.0
CI CD pipelines
About Company
Skills:
Power Bi, PowerShell, SSIS, Azure Synapse, Vbscript, Ssas, Vba, Azure Data Lake, DevOps practices, Windows Server 2019 2022, Azure Data Factory ADF, CI CD pipelines, ETL ELT development, SQL Server 2019 2022
Skills:
snowflake , Informatica, Data Warehousing, Redshift, Databricks, Talend, Python, Etl, Aws S3, Airflow, AWS EMR, Luigi, Business intelligence, Azkaban, Athena
Skills:
Azure Data Lake Storage (ADLS), Pyspark, Apache Spark, Python, Sql, Git, Azure Data Factory, Power Bi, Azure Synapse Analytics, Databricks, Azure DevOps, Fabric Lakehouse, OneLake, Delta Lake, Fabric Data Factory Data Pipelines, Microsoft Fabric, Microsoft Purview, ETL ELT concepts, Real-time streaming data, CI CD
Skills:
snowflake , Github, Apache Spark, Json, Sql, Apache Airflow, Amazon Redshift, Gitlab, Xml, Rest Apis, Python, AWS
Skills:
Apache Kafka, Python Programming, AWS cloud infrastructure, Apache Iceberg, Snowflake architecture optimization, Kimball dimensional data warehouses, LLM integration, SQL optimization, vector databases, GitFlow, SQLMesh, AI-driven analytics, dbt, MLOps frameworks, data governance frameworks