Data Analyst – SQL/ETL/Snowflake

We have a contract opportunity through end of year for an early-career Data Engineer with a strong foundation in SQL, ETL processes, and data analysis, capable of building and optimizing data pipelines in a cloud-based environment. They bring hands-on experience working with large datasets, demonstrate strong analytical and problem-solving skills, and can quickly understand data requirements to support business and analytics needs. This individual is proactive, detail-oriented, and able to manage multiple priorities while collaborating effectively with cross-functional teams in a fast-paced, delivery-driven environment. 100% remote. • MUST HAVES:Bachelor’s Degree • 1+ year of experience with SQL • Excellent Analytical skills with sound SQL and ETL knowledge • Problem solving nature with Data experience preferably in HealthCare • Owning and delivering the tasks with minimal help • Preferred Experience:Healthcare experience • Talend/Informatia ETL or Datawarehouse background or Snowflake/Teradata with Cloud tools • Disqualifiers:No SQL experience • About this Role:Help our customers and vendors with appropriate data needs to server our members effectively. • D2D Responsibilities:Meeting with the manager for first few weeks to make comfortable and then monitor the work week-to-week basis • Understand data extract requirements from the data analysts • Build ETL processes Snowflake and Teradata to achieve the desired result • Analyze the data set requested for and report any data quality or observations with the third-party entity and internal team • Write complex SQLs to analyze data sets for various standard extracts • Understand complex data mappings to find issues and help developers to fix the same • Performance measure: should be able to handle active projects and multiple priorities • Unique opportunity to support critical initiatives Job Description: Position Purpose: Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration, and engaging with DevSecOps Engineer during continuous integration and continuous deployment. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 0 – 2 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: One or more of the following skills are desired. Experience with Data Analysis; Data Collection Knowledge of Data Quality; Data Validation; QA testing tools ( Quality Center, QTP and Load Runner); Quality Assurance Experience with Cloud Applications; Cloud Computing Experience with Big Data; Data Manipulation; Data Mining; Power Tool Operation; Python; Tableau (Business Intelligence Software) Experience with Other: • Experience building / operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience with Big Data; C# (Programming Language); Java (Programming Language); JavaScript (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language) Experience with Microsoft SQL Servers; SQL Server System Soft Skills: Beginner - Seeks to acquire knowledge in area of specialty Beginner - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions