Job ID : 35173
Location : Manchester, MI
Company Name : VISART
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $106200 - $107700 per year
No. of Positions : I have ongoing need to fill this role
Required Skills : Database tools, Data transformation tools, Data ingestion tools..
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :Responsibilities:
- Work with product managers and data analysts to build data products that power our business.
- Build and maintain data analytics reports, ETL pipelines, data lakes, and streaming solutions.
- Analyze new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models
- Develop & maintain critical data pipelines, using tools such as Apache Airflow, to ensure highly accurate and reliable business reporting
- Perform ad-hoc analysis and provide insights to stakeholders within the organization such as Marketing, Growth & Sales teams to drive prioritization.
- Create data visualizations and analytic reports using various tools such as Tableau, Databox, etc
- Optimize database queries to improve and maintain performance on very large data sets.
- Work closely with the business and data science team for the deliverables.
- Masters or bachelor's degree in CS/ML/AI or relevant computational/engineering discipline.
- Experience building stream-processing systems, using solutions such as Kinesis, Kafka, Storm or Spark-Streaming.
- Expertise with coding with Pyspark, Pandas, Scipy, and visualizations with Tableau & Databox. Scheduling/orchestrating pipelines using Databricks and Airflow.
- Expertise with data querying (SQL, Redshift, Spark) and analyzing billions of rows of data points.
- Familiarity with SQL, especially within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift
- Strong understanding of relational DB such as MySQL/PostgreSQL, document-based storage systems such as MongoDB or CouchDB, key-value stores Column-oriented stores graph-oriented stores; their distinct advantages, disadvantages, and trade-offs.
- Experience building machine learning, statistical and analytical models, and tuning parameters.
- Experience designing experiments and extracting insights.
Key Skills:
- Database tools.
- Data transformation tools.
- Data ingestion tools.
- Data mining tools.
- Data warehousing and ETL tools.
- Real-time processing frameworks.
- Data buffering tools.
