Senior Data Engineer

3 weeks ago

Hyderabad Telangana India, Telangana Tezo Full time

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.


Sr Data Engineer – Azure & Snowflake

Location: Hyderabad

Experience Level: 8–13 Years


  • 8+ years of experience in data engineering and ETL development.
  • Strong proficiency in SQL (performance tuning, window functions, stored procedures).
  • Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Databricks.
  • Snowflake expertise in data loading, transformations, and query optimization.
  • Strong Python skills, including working with Pandas / PySpark dataframes in Jupyter notebooks.
  • Experience with data orchestration, workflow scheduling, and CI/CD for data pipelines.
  • Good understanding of data modeling principles, data governance, and metadata management.

Key Responsibilities

Data Engineering & Pipeline Development

  • Design, build, and maintain scalable and reusable data pipelines for batch and real-time ingestion using Azure Data Factory, Databricks, or PySpark.
  • Develop and optimize ETL/ELT workflows to extract data from heterogeneous sources (files, APIs, databases, applications).
  • Build and maintain data processing logic using Python, PySpark, and SQL.
  • Work with dataframes in Jupyter notebooks for transformation, validation, and feature creation.

Data Architecture & Cloud Integration

  • Implement and maintain data solutions on Azure and Snowflake.
  • Design and manage data storage layers — staging, raw, curated, and consumption zones within Data Lake / Lakehouse architecture.
  • Integrate structured and semi-structured data (JSON, Parquet, CSV, etc.) from multiple systems and sources.
  • Collaborate with architects and modelers to align pipelines with data models and governance standards.

Performance Optimization & Data Quality

  • Optimize pipelines for performance, scalability, and cost efficiency.
  • Implement data validation, error handling, and audit mechanisms in ETL workflows.
  • Participate in data profiling and quality assessments to ensure reliability and accuracy.

Collaboration & Stakeholder Engagement

  • Work closely with data modelers, analysts, and business teams to translate functional requirements into technical solutions.
  • Participate in code reviews, architecture discussions, and Agile sprint ceremonies.
  • Document processes, data flow diagrams, and technical designs.

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