Senior Data Engineer at Velir | chakrie

Requirements

Additional Requirements

Frequent sitting at a desk performing work on a computer
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Data Processing (e.g. Apache Spark, dbt)
Cloud-based data warehouses (e.g., Snowflake, Google BigQuery)
Data orchestration (e.g., Apache Airflow, Azure Data Factory, Prefect)
Data Movement. Optimizes data pipelines to achieve low latency, ensuring timely processing and delivery of data. Can design and implement real-time and /or micro-batch data processing solutions that handle high-volume data with low latency requirements.
Data Warehousing. Acts as an internal resource for data warehousing, providing help with advanced techniques and strategies for novel scenarios.
Programming. Has an authoritative or deep holistic understanding, deals with routine matters intuitively, able to go beyond existing interpretations, achieves excellence with ease.
Technical Management: Is able to be a technical leader across a set of related team's domains, consistently pushing boundaries and exploring gaps in understanding.
Data Infrastructure: You can design, build, and maintain the underlying data infrastructure for a complex, large-scale system that integrates with multiple disparate data sources.
Data Modeling and Transformation: Comfortable with modeling and transforming extremely large and complex datasets in a performant and cost-efficient manner.
MLOps: Understands and can execute the steps required to deploy a trained model into a production environment for offline or online scoring.
Proven experience as a Data Engineer or related role, with a focus on designing and developing data pipelines.
Strong programming skills in Python and SQL. Experience with Scala and Rust is a plus but not required.
Deep knowledge of data warehousing and ETL/ELT processes.
Intermediate / expert proficiency with common data integration / orchestration platforms (e.g., Fivetran, Azure Data Factory, Apache Airflow)
Deep experience with at least one cloud data warehouse (Snowflake, BigQuery, Databricks, or similar).
Experience with streaming solutions such as Spark Streaming, Kafka, or Flink is desirable but not required.
Strong experience with at least one cloud platform such as AWS, Azure, or Google Cloud.
Familiarity with machine learning operations (MLOps) techniques and platforms is a plus but not required.
Experience mentoring and advising other engineers
Ability to define, explain, and sell long-term vision for technical architecture, technical approaches / procedures, etc.
Excellent communication and collaboration skills.

Responsibilities

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Everything else on this page, kept up to date and available to every member of Chakrie at no cost at all.

Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Senior Data Engineer

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