Job
Description
About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Position summary: We are seeking a Senior Software Development Engineer - Data Engineering with 3-5 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. Key Responsibilities: Work with cloud-based data solutions (Azure, AWS, GCP). Implement data modeling and warehousing solutions. Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e. g. , for business intelligence). Implementing data security measures and access controls to protect sensitive information. Monitor and troubleshoot issues in data pipelines, notebooks, and SQL queries to ensure seamless data processing. Develop and maintain Power BI dashboards and reports. Work with DAX and Power Query to manipulate and transform data. Basic Qualifications Bachelor s or master s degree in computer science or data science 3-5 years of experience in data engineering, big data processing, and cloud-based data platforms. Proficient in SQL, Python, or Scala for data manipulation and processing. Proficient in developing data pipelines using Azure Synapse, Azure Data Factory, Microsoft Fabric. Experience with Apache Spark, Databricks and Snowflake is highly beneficial for handling big data and cloud-based analytics solutions. Preferred Qualifications Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub). Experience in BI and analytics tools (Tableau, Power BI, Looker). Familiarity with data observability tools (Monte Carlo, Great Expectations). Contributions to open-source data engineering projects. Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you re passionate about technology and eager to make an impact, we d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
