Senior Data Engineer

Are you passionate about data engineering in Cloud technologies in most effective way and does creating innovative data 
management and reporting solutions excite you? Are you looking for an opportunity where you can both practice your technical 
trade while adding to your leadership, consulting, and delivery experience to turn a career corner? If you've got technical chops, 
consulting skills and are a passionate data architect, please read on... 
As a data engineer, you will design, build, and operate scalable data platforms in AWS while also guiding more junior engineers 
through best practices, code quality, and delivery excellence. You will work closely with product owners, architects, and stakeholders 
to translate business requirements into robust, production-grade data solutions. 

• Design, build, and optimize cloud-native data platforms on AWS, including data lakes, data warehouses, and analytics 
stores. 
• Collaborate with BI and analytics platform vendors and internal teams to support production issues, upgrades, and platform 
enhancements. 
• Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data 
warehouse and develop recommendations 
• Development of database solutions by designing proposed system; defining database physical structure and functional 
capabilities, security, back-up, and recovery specifications to internal and external stakeholders 
• Work closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse. 
• Plan and track delivery commitments, ensuring predictable and high-quality outcomes. 
• Partner with product owners, architects, and stakeholders to prioritize work and manage expectations. 
• Contribute to hiring by participating in interviews and technical assessments 

 
• 3-5 years of experience in Python programming, specifically in complex data loading using Python. 
• 3-5 years of hands on (strong) ETL is a must and prior experience in any RDMS experience is a must (Postgres is preferable) 
• 2+ years of mandatory hands on experience in AWS cloud technologies, CI/CD(GIT/ BitBucket) and managing data in AWS  
• 2+ years of hands-on experience in Snowflake is required. 
• Data Mapping expertise, ability to understand business requirements and derive data dictionary and data assets 
requirement for ETL/ELT and DBA groups. 
• Excellent communication skills, both written and verbal and attention to detail 
• Analytical skills is must to understand the requirements and work on the tasks as an individual contributor. 
• Ability to collaborate with peers and develop good working relationships. 
• Knowledge of data warehousing on the AWS platform is required. 
• AWS Certification especially Cloud Practitioner completion is desired. 
• Hands on experience with Snowflake will be an asset.  
• Hands on experience on Linux shell scripting is preferable.