Data Engineer

Location: Hyderabad

Experience: 2–5 years

Notice Period: Immediate to 15 days

We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will have strong experience in building data pipelines, working with modern data platforms, and implementing scalable cloud-based solutions. This role requires hands-on expertise in SQL, Python, PySpark, and AWS, along with solid understanding of data modelling and transformation frameworks.

Key Responsibilities· Design, develop, and optimize scalable data pipelines and ETL workflows.

• Build and manage data models using DBT and integrate datasets for analytics and reporting.
• Work with Snowflake to write efficient SQL queries and manage data warehousing activities.
• Develop distributed data processing solutions using PySpark on Databricks.
• Implement data ingestion frameworks using Python, APIs, and AWS services.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, reliability, and performance across pipelines.
• Deploy and maintain data workflows using CI/CD and version control best practices.

Mandatory Skills· Minimum 2 years of hands-on experience in:

o SQL (Snowflake)

o DBT

o PySpark (Databricks)

o Python with strong understanding of OOP concepts

o AWS services: S3, ECS, SQS, Lambda, EMR

• Experience with file formats: CSV, JSON, Parquet
• Experience with API integrations using Python
• Strong communication skills

Secondary / Good-to-Have Skills· Experience with Sigma or Tableau for data visualization

• Linux CLI proficiency
• Python web scraping experience
• Exposure to Datadog for monitoring
• Experience with GitHub for version control and CI/CD
• Knowledge of Terraform
• Computer Science degree from a reputed academic institution