Specialist / Sr. Specialist, Analytics Engineering

Provide clean transformed data ready for analysis Build and maintain optimal data pipeline architecture Apply software engineering standard methodologies to analytics ( Ex: Version control , testing , continuous integration) You connect the dots - in developing sophisticated security use cases, will bridge the gap between security requirements and technical implementation. You will connect the dots by aligning Splunk configurations with overarching security objectives, ensuring that our log sources are effectively onboarded and monitored for potential threats. You are a collaborator - Your expertise and insights as an Analytical Engineer will be instrumental in Collaborating with business to understand data requirements & support in building dashboards to enable data driven decision making You will work closely with Data Engineers , Data scientist & Business to strive for greater functionality & define business goals and parameters to measure analytics outcome You are an innovator - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. What you'll need (Required) Bachelor s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus Minimum 3+ years of experience in a Analytical Engineer role Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement Strong analytic skills related to working with unstructured datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management A successful history of harmonizing, processing and extracting value from large disconnected datasets Experience supporting and working with multi-functional teams in a dynamic environment Experience with object-oriented/object function scripting languages: Python, Java, etc. Experience with cloud services: GCP, AWS, Snowflake Experience with Visualization tools like Tableau, QlikView , Domo Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi,dbt etc Ability to resolve issues independently. Excellent communication and collaboration skills. What you'll need (Preferred): Experience with relational SQL and NoSQL databases: MongoDB, PostgreSQL, etc Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience building and optimizing big data data pipelines, architectures and data sets