Amplemarket
51 - 200 employees
đ€ Artificial Intelligence
đ€ B2B
âïž SaaS
đ° $12M Series A on 2022-04
Artificial Intelligence âą B2B âą 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.
Data Engineer
đ April 1
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Amplemarket
51 - 200 employees
đ€ Artificial Intelligence
đ€ B2B
âïž SaaS
đ° $12M Series A on 2022-04
Artificial Intelligence âą B2B âą 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.
đ Description
âą Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources âą Develop and maintain data models and schema to support data analysis and reporting âą Write and maintain ETL jobs to extract, transform, and load data into our data warehouse âą Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making âą Monitor and optimize data pipelines and processes to ensure data quality and performance
đŻ Requirements
âą Bachelor's or Master's degree in Computer Science, Data Science, or a related field âą 3+ years of experience as a Data Engineer or similar role âą Strong programming skills in Python, Java, or a similar language âą Experience with SQL and data modeling concepts âą Experience with cloud-based data warehousing solutions such as Redshift, BigQuery, or similar âą Experience with ETL tools such as Spark, Flink, Databricks, Snowflake, etc. âą Experience with messaging systems such as RabbitMQ, Kafka, etc. âą Knowledge of the underlying cloud infrastructure on how the various data pipeline component fit together âą Excellent problem-solving and communication skills âą Based somewhere between the GMT-3 and GMT+2 timezones
đïž Benefits
âą Nice work environment âą Competitive Salary âą Health Insurance âą Stock Options âą Annual Company Trip in a secret location âą and more
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