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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Knowledge of cluster management, optimization, and scaling for efficient data processing.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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Drive T-Mobile's presence in paid search shopping platforms, such as Google Shopping, by managing product feed optimization and campaign performance. This role supports paid search, search engine optimization (SEO), paid shopping, organic search, local search, media forecasting, and all search planning and forecasting.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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Optimization of Spark jobs and Databricks clusters for better performance. Top 3: 1 Skill : Data Engineering 5+ 2 Skill : Data Bricks 5+ 3 Skill : Sparks/ Dev ops practices 5+ Knowledge of data security best practices and the implementation of measures to ensure data privacy and compliance.
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Each week aggregate marketing data from Google Analytics, HubSpot, Instapage, AdWords, HotJar, and other sources to uncover performance improvements. Your Background:-Experience in the following demand generation channels: email marketing, website & landing pages, marketing automation / lead scoring, ABM, paid search.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Strong knowledge of and experience with BI tools (experience with Google Looker required), databases (Postgres and Google BigQuery a plus), programming (XML, Javascript, and ETL frameworks.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.
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The Data Analytics Engineer will implement an efficient/scalable system of schemas and tables to optimize transforming data from its raw form in Snowflake, into clean and documented datasets for use by analytics stakeholders.
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Understanding of paid search, email and content marketing strategies and tactics. Experience using marketing tools (e.g. Salesforce, Mailchimp, Google Analytics) Driven by data and experimentation: you understand how to analyze data to optimize campaigns and improve results, including interpreting and analyzing data from multiple sources.
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Proven expertise in working with cloud platforms, such as AWS, Azure or Google Cloud, to architect and implement scalable and efficient data analytics solutions. The Principal Engineer in Data Analytics at Costco holds a pivotal leadership role, steering the strategic vision, design, and architecture of the organization's data analytics and reporting landscape.
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Their ownership areas and delivery responsibilities encompass data strategy, architecture, integration, security, governance, performance optimization, collaboration, documentation, monitoring, support, and scalability.
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The ideal candidate will lead the design and development of data and analytics projects in a global setting, demonstrating proficiency in Microsoft Azure, particularly in Databricks, ADLS, Blob Storage, Data Factory, SQL Server, and Warehouses.
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Experience with cloud-based data warehousing platforms such as Synapse, AWS Redshift, Google BigQuery, or Snowflake. Mentor and train other data engineers on best practices for data engineering and Databricks usage.
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