Data Engineer

Job Title: Data Engineer (Python/SQL)

Location: Hyderabad

Job Type: Full-time

About Us

At Best Nanotech, we are (brief mission statement, e.g., revolutionizing supply chain logistics). We believe that data is our most valuable asset. We are building a world-class Data Platform team to ensure that our Analysts, Data Scientists, and Leadership have access to clean, reliable, and timely data.

The Role We are looking for a Data Engineer to join our infrastructure team. You will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

You won't just be moving data from A to B; you will be designing the architecture that makes that movement fast, reliable, and cost-effective.

Key Responsibilities

• Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL .
• Architecture: Help manage our cloud data warehouse (Snowflake / BigQuery / Redshift ) and data lake.
• Orchestration: Schedule and monitor workflows using Airflow , Dagster, or Prefect.
• Data Quality: Implement automated testing and validation to ensure data accuracy and consistency.
• Collaboration: Work closely with Data Scientists to prepare data for ML models and with Product teams to capture new data events.
• Performance Tuning: Optimize slow-running queries and minimize cloud compute costs.

What We Are Looking For

• Experience: 2+ years of experience in Data Engineering.
• Coding: Advanced proficiency in SQL (window functions, CTEs are second nature) and Python .
• Cloud: Experience with a major cloud provider (AWS, GCP, or Azure ).
• Big Data Tools: Familiarity with distributed computing frameworks like Spark or Databricks is a plus.
• Concepts: Strong understanding of Data Modeling (Star Schema, Snowflake Schema) and Data Warehousing concepts.
• Engineering Mindset: Experience with Git, CI/CD pipelines, and Containerization (Docker).

Bonus Points

• Experience with Streaming technologies (Kafka, Kinesis, Flink).
• Experience with Infrastructure as Code (Terraform).
• Knowledge of dbt (Data Build Tool).
• Why Join Us?
• Impact: Your work will directly influence company strategy and product features.
• Compensation: Competitive salary + Equity/Stock Options.
• Learning: Budget for certifications (AWS/GCP), conferences, and workshops.
• Culture: A "no-blame" culture that values learning from incidents.
• Health: Premium medical, dental, and vision coverage.

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