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    Data Engineer - Chicago, United States - Sky Consulting Inc

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    Job Description

    Job Description

    This is a full time role in Chicago, IL Hybrid role 3 days/week. Open for candidates who are ready to relocate Day 1. No C2C enquires please

    Position: Data Engineer

    Location: Chicago, IL (Hybrid 3 Days/ week)

    Duration: Full Time

    Key Skills: Snowflake, Databricks, Python, SQL

    Key Responsibilities:

    Data Integration:

    Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.

    Support Data Modeling:

    Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.

    Data Pipeline Development:

    Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.

    Reporting Support:

    Collaborate with data architect to ensure the data within Snowflake is structured in a way that supports efficient and insightful reporting.

    Technical Documentation:

    Create and maintain comprehensive documentation of data pipelines, ETL processes, and data models to ensure best practices are followed and knowledge is shared within the team.

    Tools and Skillsets:

    Data engineering: proven track record of developing and maintaining data pipelines and data integration projects

    Databases: Strong experience with Oracle, Snowflake, and Databricks.

    Data Integration Tools: Proficiency in using Kafka and CDC tools for data ingestion and synchronization.

    Orchestration Tools: Expertise in Airflow for managing data pipeline workflows.

    Programming: Advanced proficiency in Python and SQL for data processing tasks.

    Data Modeling: Understanding of data modeling principles and experience with data warehousing solutions.

    Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration.

    Collaboration Tools: Experience with version control systems (like Git) and collaboration platforms.

    CI/CD Implementation: Utilize CI/CD tools to automate the deployment of data pipelines and infrastructure changes, ensuring high-quality data processing with minimal manual intervention.

    Communication: Excellent communication and teamwork skills, with a detail-oriented mindset.

    Strong analytical skills, with the ability to work independently and solve complex problems.


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