Aypa Power · 3 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

Maximize your interview chances

EnergyEnergy Efficiency

No H1B

Insider Connection @Aypa Power

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design, implement, and maintain robust data pipelines for data ingestion, processing, and storage, supporting IOT data, timeseries data, CRM data, project management data, etc.;

Ensure the data platform is scalable, efficient, and secure, supporting various data sources and business requirements;

Establish and enforce data governance policies and best practices;

Implement data quality measures to ensure the accuracy, completeness, and reliability of data;

Develop and maintain data access protocols, ensuring authorized and secure data access across the organization;

Support data consumption by creating efficient and reliable data models and APIs for internal and external stakeholders;

Collaborate with the software development and machine learning teams to provide the necessary data infrastructure and support for their projects;

Utilize Snowflake, Timescale, MongoDB, Databricks, and Microsoft Dataverse to manage structured, semi-structured, and unstructured data;

Implement solutions for streaming and managing large volumes of data, particularly IoT data;

Leverage knowledge of power markets and GIS data to enhance data platform capabilities;

Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver appropriate solutions;

Prepare and present technical documentation, architecture diagrams, and status reports to senior management;

Foster a collaborative and innovative work environment;

Stay up-to-date with emerging technologies, industry trends, and best practices in data engineering;

Drive continuous improvement initiatives to enhance the performance, reliability, and scalability of the data platform;

Other duties as assigned or required.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData GovernanceData QualityData IngestionSnowflakeTimescaleMongoDBDatabricksMicrosoft DataverseDataOpsStructured Data ManagementUnstructured Data ManagementSemi-structured Data ManagementIT Infrastructure ManagementPower Markets KnowledgeGIS Data KnowledgeSoftware Development FamiliarityMachine Learning Familiarity