We are looking for a Data Engineer to join our team and play a key role in building, optimizing, and managing data pipelines. You will work closely with Data Analysts and Business Functions to ensure seamless data processing, reporting, and dashboarding. Our tech stack includes BigQuery, Snowflake, Airflow, Stitch/Fivetran, dbt, and Tableau/Looker, with a cloud-first approach using AWS and some GCP.
Develop and optimize ETL and ELT pipelines while working with Data Analysts
Design and implement scalable, automated processes for data extraction, processing, and analysis within a Data Mesh architecture
Act as a subject matter expert for data technologies and solutions
Improve efficiency in data ingestion, transformation, and reporting workflows
Translate business needs into technical solutions by designing data models and reports
Perform exploratory data analysis and implement automated data quality checks
Optimize data feeds and ensure timely data availability using Change Data Capture and other approaches
Maintain data governance by enforcing best practices in data quality, testing, coding, and peer reviews
Build Looker dashboards when required
Qualifications and Experience
Minimum four years of hands-on experience with Snowflake or similar data warehouse technologies
Experience with dbt, Apache Airflow, Fivetran, AWS, Git, and Looker
Strong SQL development skills with experience in query optimization and performance tuning
Experience in data ingestion techniques using custom pipelines or SaaS tools like Fivetran
Expertise in data modeling and optimization of existing or new data models
Experience in data mining, ETL, and data warehousing solutions
Knowledge of agile methodologies such as SCRUM
Work on cutting-edge data technologies
Impact business decisions through data-driven insights
Opportunities for professional growth and mentorship
If you are passionate about data engineering and looking for an exciting opportunity, apply now.

Data Engineer (AWS, SQL)

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