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Job Description

Tide is seeking a Senior Data Engineer to join their team in India. The successful candidate will be responsible for building and running data pipelines and services to support business functions, reports, and dashboards. The role involves working with technologies such as BigQuery/Snowflake, Airflow, Stitch/Fivetran, DBT, Tableau/Looker, and AWS.

Responsibilities:

  • Developing end-to-end ETL/ELT pipelines.
  • Designing and implementing scalable processes for data extraction, processing, and analysis.
  • Mentoring junior engineers.
  • Troubleshooting technical issues.
  • Improving data pipeline delivery.
  • Translating business requirements into technical specifications.
  • Owning the delivery of data models and reports.
  • Performing exploratory data analysis and implementing data quality tests.
  • Optimizing data feeds.
  • Applying data warehouse governance.
  • Building Looker dashboards.

Requirements:

  • 3+ years of development experience with Snowflake or similar data warehouse technology.
  • Experience with DBT and other modern data stack technologies.
  • Experience with agile processes like SCRUM.
  • Extensive experience writing advanced SQL statements and performance tuning.
  • Experience in data ingestion techniques.
  • Experience in data modeling.
  • Experience in data mining, data warehouse solutions, and ETL.
  • Experience architecting analytical databases (Data Mesh architecture is a plus).
  • Experience working in agile cross-functional delivery teams.
  • High development standards for code quality, code reviews, unit testing, CI/CD.
  • Strong technical documentation skills.
  • Business-level English and good communication skills.
  • Basic understanding of AWS platform systems (Good to have).
  • Experience in fintech is preferred.

What Tide offers:

  • Flexible working arrangements.
  • Competitive salary.
  • Self & Family Health Insurance.
  • Term & Life Insurance.
  • OPD Benefits.
  • Mental wellbeing support.
  • Learning & Development Budget.
  • WFH Setup allowance.
  • Paid leaves.
  • Stock Options.
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