Data & Analytics Engineer

Key Responsibilities
Establish an engagement model with various IT Operations team
Sense and shape demand for Data Engineering needs, design and develop solutions involving Data Modeling, Data Integration, ETL/ELT processes, Data Security, Data Visualizations and Reporting
Maintain a portfolio view of all initiatives
Establish and ensure proper functioning of effective Data and Analytics Governance principles ensuring data quality, ensuring effective and optimized use of shared infrastructure, limiting data and technology sprawls, and managing cost
Plan and implement Data Reliability initiatives that certify data accuracy in Enterprise Data Platforms
Plan and implement Data and Analytics components of large enterprise-wide Infrastructure transformation Initiatives
Organize work and manage resources to tackle multiple business priorities across the company

Skills/Qualifications
Required:
Deep experience managing data warehousing, data Integration, and Infrastructure operations intelligence is required
Expert-level knowledge of SQL, Python and Java programming languages is needed
Expert-level knowledge of Data & Analytics tools like Snowflake, Alteryx, AWS Kinesis Firehose, Tableau and Grafana is required
Expert-level knowledge of configuring Data & Analytics services, S3 storage and other AWS resources
Demonstrable experience in modelling and visualizing Infrastructure operations data related to Applications, Compute, Storage, Network and Datacenter
Experience in Data Reliability and Real-time Data Streaming solutions is preferred
Ability to prioritize and manage time effectively in a complex environment with competing priorities is required

Nice to have:
Experience in a high-tech, networking, manufacturing, or other data intensive industry
Source control using git and GitHub/GitLab
Experience leading medium to large projects by bringing together the right perspectives, identifying roadblocks, and integrating feedback from clients and team members

Education and certification
Bachelor's Degree in Computer Science, Information Systems, or equivalent degree/experience
8+ years of experience as a ETL/BI developer with minimum 2 years of experience solving IT infrastructure related data challenges