Actively engage in design and implement robust ETL/ELT workflows and pipelines using DBT, Alteryx
Contribute to the strategy, development and architecture of data management systems, data models etc.
Code, test and document new/modified systems to create robust applications for data analysis
Ingest and transform both structured and unstructured data, keeping in mind data security and access controls
Build solutions to help data scientists and visualization experts and proactively troubleshoot issues
Seamlessly work with various business stakeholders, understand their needs and design custom solutions
Work well within a team and collaborates with colleagues across domains and geographies
Document and maintain data standards adhering to best practices and maintaining data governance processes

Bachelor’s degree in computer science or information systems
3
4 years of total work experience with at least 2 years in the data engineering domain
Strong skills in querying languages like SQL, NoSQL to work with RDBMS & Non-Relational Databases
Knowledge of Snowflake, DBT (Data Build Tool), Amazon Web Services (like S3, EC2, Glue etc.) for building the data pipelines
Experience in data ingestion, transformation techniques using ETL/ELT tools like Alteryx, DBT
Fair understanding of Data Governance Process, Data Security best practices including Row-Level Security (RLS), Column-Level Security (CLS), and any other access control techniques
Experience in database design, optimize data pipelines and workflows for performance and scalability
Working experience in migrating data from various source systems to the cloud enterprise Data Lake (AWS/Snowflake)
Knowledge of tools like Alation, Tableau, Power BI
Excellent communications skills with the right attitude/personality of a team player
Emotional maturity and the ability to work well under pressure
Excellent organizational and analytical skills

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
Career Development and Growth through a culture of continuous learning and skill development
Industry Competitive Benefits: flexible vacation, two company-wide Mental Health Days off, access to Headspace app, retirement savings, tuition reimbursement, employee incentive programs, resources for mental, physical, and financial wellbeing
Make an impact in your community with our Social Impact Institute: two paid volunteer days off annually and opportunities for pro-bono consulting projects

Data Engineer

Key skills