Data Analytics Engineer (SQL, Python) - 136564

\`\`\`html THIS JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING Position: Data Analytics Engineer (SQL, Python) - 136564 Location: Austin, Texas Duration: Contract Job ID: 170134 Job Overview: We are seeking a skilled Data Analytics Engineer who specializes in the data analytics space. The ideal candidate will have a strong background in data engineering, data infrastructure, and management, with expertise in tools and technologies such as Snowflake, Python, and advanced SQL. This role requires a professional who can effectively communicate, document, and collaborate with cross-functional teams while maintaining high attention to detail and initiative. Responsibilities: • Build and maintain data pipelines (ETL/ELT) to support analytics and reporting needs. • Utilize orchestration tools such as Airflow, dbt, or Prefect to manage workflows. • Work with cloud platforms like AWS and tools such as Snowflake to manage data systems. • Design and implement data lake and warehouse architectures (e.g., S3 + Athena, Delta Lake). • Develop and maintain high-quality Python scripts for data manipulation using libraries like pandas, pyarrow, and pyspark. • Model data using star/snowflake schemas, normalization, and dimensional modeling techniques. • Ensure data quality and integrity through monitoring, validation, deduplication, and anomaly detection. • Follow version control and CI/CD practices for data workflows using tools like Git. • Collaborate with cross-functional teams to ensure shared ownership and knowledge sharing. • Maintain clear and structured documentation of project logic, decisions, and maintenance. Qualifications: • 5+ years of experience in data engineering, including building and maintaining data pipelines. • Proficiency with orchestration tools such as Airflow, dbt, or Prefect. • Experience with cloud platforms (e.g., AWS) and tools like Snowflake. • Strong understanding of data lake and warehouse architecture. • Advanced Python skills for data manipulation (e.g., pandas, pyarrow, pyspark). • 5+ years of expertise in data modeling, including star/snowflake schemas and dimensional modeling. • Proven ability to maintain data quality and integrity through monitoring and validation techniques. • Familiarity with version control and CI/CD practices for data workflows. • Advanced SQL skills with 5-10 years of experience. • Experience in data migration and database technologies. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity. • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65/hr - $80/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com \`\`\`