Milestone Technologies, Inc

Our tech stack includes AWS, Databricks, Airflow, and Spark, and primary languages are Scala and Java.. Maintain detailed documentation of your work and changes to support data quality and data governance. Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow). Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake). Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)

engineer

﻿Senior Bigdata EngineerSanta Monica; CA or Seattle; WA (HYBRID)4 Days ONSITE4 Months Contract with possible extensionOverview:Our Data Platforms team is seeking a highly motivated Software Engineer with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions. Our tech stack includes AWS, Databricks, Airflow, and Spark, and primary languages are Scala and Java. Basic Qualifications<ul><li>Contribute to the design and growth of our Playback Data Products and Services, enabling evaluation of product performance and user behavior </li><li>Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) </li><li>Work on systems to query, process, and deliver data out of the analytics environment into internal tools and systems </li><li>Collaborate on architectural designs and help plan for maintainability, observability, and future development concerns </li><li>Maintain detailed documentation of your work and changes to support data quality and data governance </li><li>Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers </li><li>Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team </li><li>5+ years of software or data engineering experience </li><li>Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow) </li><li>Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake) </li><li>Knowledge of both SQL and NoSQL databases </li><li>Strong programming skills in Java, Scala or Python </li><li>Demonstrated competency in data modeling and analysis techniques </li><li>Familiar with Scrum and Agile methodologies </li><li>Strong attention to detail and excellent analytical skills </li><li>Verbal and written communication skills and ability to collaborate with others effectively </li></ul>Preferred Qualifications<ul><li>Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) </li><li>Experience working in Scala or Java </li><li>Experience with scalable online analytical processing databases (Druid, ClickHouse) </li><li>Experience working with a test first mentality. </li><li>Deep Understanding of AWS or other cloud providers as well as infrastructure as code </li><li>Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices </li><li>Familiar with Scrum and Agile methodologies </li></ul>Compensation:The estimated pay range for this position is USD $90.00/hr - $95.00/hr and is an Exempt role.Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.Benefits:We offer comprehensive benefit options which vary depending on role, location, and employment type. The Talent Acquisition Partner can share more details about compensation or benefits for the specific role during the hiring process.<h3>J-18808-Ljbffr</h3>

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