Website Entravision Communications Corporation
Description:
We are seeking a highly skilled and motivated Data Engineer to join our dynamic data team. The ideal candidate will have deep expertise in SQL, cloud platforms, data modeling, and building production-ready ETL pipelines. This role will be essential in designing and maintaining scalable data infrastructure, ensuring seamless data integration, and optimizing end-to-end data workflows. As a key player in shaping our data architecture, you will contribute to building robust, cloud-based solutions that support data analytics and business intelligence initiatives across the organization.
Responsibilities:
· Develop, test, and deploy ETL pipelines to move and transform data across multiple data sources. · Build integrations with third-party tools, APIs, and services, ensuring data is synchronized and accessible. · Manage and optimize data storage, particularly in cloud-based OLAP databases (e.g., Snowflake, Redshift). · Work with cross-functional teams including data scientists, business analysts, and product teams to understand data needs and ensure effective solutions. · Monitor and tune data processes and queries for optimal performance and efficiency. · Help design, deploy, and maintain cloud infrastructure and storage. · Maintain clear and comprehensive technical documentation of data pipelines, workflows, and infrastructure. · Knowledge of containerization technologies like Docker and Kubernetes and experience with deploying data pipelines in containerized environments.Requirements:
· Strong SQL scripting skills for querying and manipulating data. Hands-on experience with cloud-based data warehouses such as Snowflake or Redshift. · Familiarity with ETL tools such as Fivetran, Stitch, Rivery, or Airbyte. Experience working with AWS cloud services including S3, AWS Batch, ECR, Lambda, SNS, SQS, and other managed cloud platforms. · Experience writing production-ready, testable code in languages like Python, Scala, or Java. · Familiarity with project management and documentation tools like JIRA Software, JIRA Service Management and Confluence. · Experience with data transformation tools such as DBT (Data Build Tool). · Advanced experience with API integrations and automating data ingestion. Experience with data orchestration tools like Apache Airflow or Luigi for scheduling and managing workflows. · Experience with data modeling techniques such as Kimball, Inmon, or Data Vault. · Experience with CI/CD pipelines, deployment, and automation using Git and other DevOps tools. Nice to Haves · Understanding of data governance practices and tools for managing data quality, lineage, and security. · Experience with large-scale data processing frameworks such as Spark or Hadoop. · Knowledge of data streaming tools and best practices using Kafka, Kinesis, or similar technologies. · Experience with NoSQL technologies like MongoDB, Cassandra, or Elasticsearch. Qualifications · Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related quantitative discipline. · Strong problem-solving skills and the ability to work independently and as part of a team. · Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.Contact:
Tmeyer@entravision.com
Apply Online: https://entravision.csod.com/ats/careersite/JobDetails.aspx?id=4449&site=1
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