Job Description :
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.










Data Engineer Atlanta, Georgia 6+ Months BI and Data Analytics group is looking for a Data Engineer to join our team. We are looking for entrepreneurial-minded innovators who can help us further develop this service of exceptionally high value to our business. A successful candidate will bring advanced knowledge of best-in-class development methodologies, a passion for scalable and high-reliability data systems, and a working knowledge of public cloud (preferably AWS) services. You must be enthusiastically collaborative, value seeking, open to challenge and be comfortable with new ideas and established approaches with an appetite for learning and innovation. A Day In The Life Typically Includes: Implement and support data pipelines and services Be able to contribute to architectural discussions about new data system designs Ability to prioritize, organize and coordinate simultaneous tasks/projects? Experimenting with new technologies and solutions, identifying ways we can use technology to create superior value for our customers. High initiative and a passion for driving rapid technical advancement? Collaborate with a diverse IT team including business analysts, project managers, architects, developers or vendors to create or optimize innovative technologies and solutions Be able to communicate complex solutions to stakeholders and other team members Strong conceptual, analytical, and problem-solving abilities? What You Will Need: Basic Qualifications: Experience in one or more common scripting languages (Python, Node.JS preferred) 3+ years' experience?in writing?SQL queries against relational databasesSQL Server, Postgres SQL etc. ) 4+ years'?experience with CI/CD tools and concepts (Azure DevOps, Bash, PowerShell, Terraform) 2+ years'?experience in building multi-dimensional databases, cubes, and data warehouses 2+ years'?experience with Git or other version control technologies 3+ years' experience in building data pipelines or ETL processes 3+ years' experience in tuning queries for performance and scalability 5+ years of experience in AWS native tools set S3, Redshift,?Aurora,?DynamoDB,?Lambda, Kinesisor similar tools. 2+ years of Apache Spark development experience (preferably PySpark) What Will Put You Ahead? Preferred Qualifications: Understanding of Meta Data & Master Data Management concepts & practices Experience working with enterprise data stores, data lakes, external data sources and APIs Experience working with remote teams spread across the globe Experience with broad set of analytics use cases; one or more of supply-chain, transportation, sales and operations Bachelor's Degree in Computer Science, Engineering or Mathematics preferred 1 - 3 years' experience in visualization tools, such as Tableau or PowerBI Required Skills : Amazon Web Services (AWS) - Certification is preferred Pyspark, Lambda, Python CI/CD for deployments (Powershell, Terraform, or Bash) Understanding of data governance PowerBI for data visualization (Tableau could work) Experience building multi-dimensional databases and data warehouse