Data Analyst

Location – Hyderabad #LI Hybrid

About the Role:

As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage.

Key Responsibilities:

• Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage.
• Collaborate with cross-functional teams, including data analysts, business analyst and BI, to understand data requirements and design appropriate solutions.
• Build and maintain data infrastructure in the cloud, ensuring high availability, scalability, and security.
  Write clean, efficient, and reusable code in scripting languages, such as Python or Scala, to automate data workflows and ETL processes.
• Implement real-time and batch data processing solutions using streaming technologies like Apache Kafka, Apache Flink, or Apache Spark.
• Perform data quality checks and ensure data integrity across different data sources and systems.
  Optimize data pipelines for performance and efficiency, identifying and resolving bottlenecks and performance issues.
• Collaborate with DevOps teams to deploy, automate, and maintain data platforms and tools.
  Stay up to date with industry trends, best practices, and emerging technologies in data engineering, scripting, streaming data, and cloud technologies

Essential Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field with an overall experience of 2-4 Years.
• Proven experience as a Data Engineer or similar role, with a focus on scripting, streaming data pipelines, and cloud technologies like AWS, GCP or Azure.
• Strong programming and scripting skills in languages like Python, Scala, or SQL.
• Experience with cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform.
• Hands-on experience with streaming technologies, such as AWS Streamsets, Apache Kafka, Apache Flink, or Apache Spark Streaming.
• Strong experience with Snowflake (Required)
• Proficiency in working with big data frameworks and tools, such as Hadoop, Hive, or HBase.
  Knowledge of SQL and experience with relational and NoSQL databases.
• Familiarity with data modelling and schema design principles.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  Excellent communication and teamwork skills.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation:

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message