Senior Data Engineer - Internal

Senior Data Engineer - Internal

Duties & Responsibilities: ● Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence ● Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) ● Leading data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects ● Ensure proper testing and monitoring are in place to provide trusted and reliable data from the data stack. ● Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction ● Identify and document standard methodologies, standards, and architecture guidelines ● Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery ● Participating in a shared on-call rotation monitoring the health of the team’s systems

Essential Knowledge, Skills, and Abilities:

● 3+ years of data architecture related experience such as data analysis, data modeling, and data integration. ● 5+ years of Experience in custom ETL design, implementation, and maintenance ● Advanced Knowledge of programming languages (e.g. Python and Object Oriented Programming) ● Hands-on experience with SQL database design ● Experience working on Cloud Platforms (AWS or Google ) ● Experience working on CI/CD processes and source control tools such as GitHub and GitLab ● Experience working with relational databases (Snowflake, Redshift) ● Strong knowledge of orchestration tools (AirFlow Preferred), file storage systems(AWS S3, Google Cloud Storage), partitioning, and real-time processing of data ● Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle ● Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization ● Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field

Bonus Points: ( specific project ) ● Experience working with reporting tools such as Tableau ● Experience with event streaming with modern event streaming toolings like Kafka or    Kinesis.

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