Chryselys - Data Engineer - Python/ETL (4-8 yrs)

We're looking for talented and experienced Data Engineering Professionals to join our growing team in Hyderabad! We have multiple openings for individuals with a strong background in data engineering, ready to contribute to innovative projects in a hybrid work environment.

If you have a passion for building robust data pipelines, optimizing data solutions, and working with cutting-edge cloud technologies, we encourage you to apply.

Experience in the pharmaceutical domain is a plus.

Location : Hyderabad (Hybrid)

Experience : 4-8 Years

Key Responsibilities :

As a Data Engineering Professional, you will be responsible for :

- Designing, developing, and maintaining scalable and efficient ETL/ELT pipelines using Python, PySpark, and SQL.

- Working extensively with Databricks to build, optimize, and manage data solutions, including Delta Lake implementations.

- Leveraging Azure Cloud platform services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage) to create and manage data infrastructure.

- Collaborating with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.

- Ensuring data quality, integrity, and security across all data pipelines and systems.

- Optimizing data solutions for performance, cost-efficiency, and reliability.

- Troubleshooting and resolving data-related issues in a timely manner.

- Participating in code reviews, design discussions, and providing technical guidance to junior team members.

- Staying up-to-date with the latest industry trends and technologies in data engineering and cloud platforms.

Required Skills & Qualifications :

- 4-8 years of hands-on experience in data engineering roles.

- Strong proficiency in Python, PySpark, and SQL for data manipulation, transformation, and analysis.

- Mandatory experience with Databricks, including strong understanding of its features, best practices, and ecosystem.

- Solid experience with the Azure Cloud platform, specifically with services relevant to data engineering (e.g., Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks).

- Experience with data warehousing concepts and technologies.

- Understanding of data modeling techniques.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills