Data Engineer

🕒 April 1

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Amplemarket

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $12M Series A on 2022-04

Artificial Intelligence • B2B • SaaS

Amplemarket is an AI-powered sales platform that enhances the sales process for businesses by providing data intelligence and multichannel engagement solutions. It helps sales teams maximize productivity and efficiency with AI-driven insights, lead generation, and automated engagement tools. Amplemarket's solutions cater to sales professionals, enabling them to save time on research, optimize lead conversion, and improve deliverability rates. Its platform integrates various functionalities such as LinkedIn prospecting, data enrichment, email validation, and competitive intelligence, making it a comprehensive tool for sales enablement.

📋 Description

• Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources • Develop and maintain data models and schema to support data analysis and reporting • Write and maintain ETL jobs to extract, transform, and load data into our data warehouse • Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making • Monitor and optimize data pipelines and processes to ensure data quality and performance

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field • 3+ years of experience as a Data Engineer or similar role • Strong programming skills in Python, Java, or a similar language • Experience with SQL and data modeling concepts • Experience with cloud-based data warehousing solutions such as Redshift, BigQuery, or similar • Experience with ETL tools such as Spark, Flink, Databricks, Snowflake, etc. • Experience with messaging systems such as RabbitMQ, Kafka, etc. • Knowledge of the underlying cloud infrastructure on how the various data pipeline component fit together • Excellent problem-solving and communication skills • Based somewhere between the GMT-3 and GMT+2 timezones

🏖️ Benefits

• Nice work environment • Competitive Salary • Health Insurance • Stock Options • Annual Company Trip in a secret location • and more