Build, maintain, and optimize data pipelines and ETL/ELT workflows on Azure and AWS.
Write and tune SQL queries for analytics, reporting, and data modeling.
Design and implement data engineering infrastructure and standards.
Ensure data quality through monitoring and validation.
Collaborate with data scientists, analysts, and partners to deliver scalable solutions.
Integrate AI/ML tools into data workflows to boost efficiency.

🎯 Requirements

1–3 years in data engineering or related field (or equivalent).
Solid SQL foundation; ability to write analytics queries.
Experience with Python for data manipulation or pipelines.
Familiarity with cloud data ecosystems (Azure, AWS, or GCP).
Knowledge of ETL/ELT, data warehousing, and batch processing.
Exposure to DBT, Databricks, Airflow, Snowflake, or Kafka.

🎁 Benefits

Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development

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