Data Engineer

3 days ago

Hyderabad, Telangana, India Celerinn Technologies Private Limited Full time
We are seeking a skilled Data Engineer (minimum 4+ years experience) with a strong foundation in Python and modern data engineering practices.

You will be responsible for building robust, scalable, and efficient data pipelines that power our analytics and product data needs.

This role is central to ensuring data quality, reliability, and availability across the organization.

You will work closely with data scientists, analysts, and product engineers to support data-driven decision-making and product development.

Core Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Python Build and optimize data workflows for batch and real-time processing Integrate data from various internal and third-party systems Implement data quality checks, validation, and monitoring mechanisms Collaborate with cross-functional teams to understand data requirements Maintain data warehouse models and schemas to support business intelligence tools Ensure adherence to data governance and security standards Support orchestration and scheduling of pipelines in production Core Skillset & Technical Requirements Python (Primary Skill)Strong experience writing production-grade Python code in a data engineering context Familiarity with object-oriented design, code modularity, and clean architecture in Python Solid understanding of performance optimization for data processing in Python Key Python Libraries & Tools Pandas, Num Py – for data manipulation SQLAlchemy / Py Spark – for interacting with databases or distributed computing Requests / HTTPX – for working with APIs and third-party data sources Pydantic / Marshmallow – for data validation Typer / Click / argparse – for CLI applications and script automation Airflow / Prefect / Dagster – for orchestration (Dagster experience is a plus)Great Expectations – for data validation (optional but desirable)Data Integration Tools Experience with data ingestion and transformation pipelines Familiarity with Airbyte (desirable)Databases & Storage Proficiency with SQL and experience with relational databases (e.g., Postgre SQL, My SQL)Experience with cloud-native or columnar data stores like Amazon Redshift, S3, or Parquet/Delta Lake Cloud Platforms Preferred: Experience with AWS ecosystem (S3, Lambda, Glue, Redshift, etc.)Knowledge of cloud security best practices and IAM principles Other Desirable Skills Containerization using Docker Experience with CI/CD workflows for data pipelines Familiarity with version control (Git) and code review processes Exposure to data modeling and schema design (e.g., dimensional modeling, star/snowflake schema)Preferred Qualifications4+ years of experience in data engineering or related field Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline Strong problem-solving and communication skills Experience working in Agile or fast-paced startup environments

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