Dice

Builds data aggregation pipelines using Python, Apache Airflow, Spark, SQL, etc.. Creates and maintains dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Looker to enable data-driven decision-making. Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Redshift and Snowflake. Substantial programming ability using languages/tools such as R, Python, JavaScript, Scala, and C. Familiarity with data visualization tools such as Tableau, Power BI, and Looker

analytics engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Tanson Corp, is seeking the following. Apply via Dice today! Description: Analytics Engineer Interviews will be held via Microsoft Teams. Project Schedule Anticipated Project Start Date: June, 2024 Anticipated End Date: June, 2026 Sample Tasks Create datasets for analytical purposes, including datasets for end users to import into desktop tools, and datasets for BI developers to import into analytics and BI tools. Build semantic layers and models that enable the rest of the organization to consume analytics more efficiently. Build the data pipelines that feed into data science and machine learning models. Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis Builds data aggregation pipelines using Python, Apache Airflow, Spark, SQL, etc. Creates robust data models and architectures to support analytics initiatives Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data Creates and maintains dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Looker to enable data-driven decision-making Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes Provide knowledge transfer Qualifications 2-5 years of experience in data analytics, data engineering, software engineering, or a similar role Expertise in data modeling, ETL development, and data analysis Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Redshift and Snowflake Familiarity with cloud-based data platforms such as AWS, Google Cloud Platform, and Azure for data storage and processing Substantial programming ability using languages/tools such as R, Python, JavaScript, Scala, and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Knowledge of ETL processes, data integration, and data warehousing concepts. Familiarity with data visualization tools such as Tableau, Power BI, and Looker Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Strong problem-solving skills, and the ability to think critically and analytically Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Ability to collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models W2 - Analytics Engineer (Data engineering, Data Modeling, ETL, Data analysis, SQL, Cloud) - Onsite

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