Hyderabad, Telangana, India
Information Technology
Full-Time
Chryselys
Overview
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 :
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.
- 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
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