Data Architect

Job description
Data Architect

Location – Jaipur

Exp – 8 – 10 yr

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and load large volumes of data from diverse sources.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.

• Optimize data processing and storage solutions for performance, cost-effectiveness, and scalability in cloud environments (e.g., AWS, Azure, Google Cloud Platform).

• Implement data quality checks, monitoring, and alerting mechanisms to ensure the integrity and reliability of our data assets.

• Stay abreast of emerging technologies and best practices in data engineering, and recommend innovative solutions to enhance our data infrastructure.

• Mentor junior members of the team and contribute to knowledge sharing initiatives to foster a culture of continuous learning and improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 8 + years of experience in data engineering roles, with a strong focus on building and optimizing data pipelines in cloud environments.

• Proficiency in Python programming and SQL, with experience in developing complex data transformations and querying large datasets.

• Hands-on experience with cloud-based data technologies such as AWS (e.g., S3, Glue, Redshift), Azure (e.g., Blob Storage, Data Factory, Databricks), or Google Cloud Platform (e.g., BigQuery, Dataflow, Dataproc).

• Solid understanding of distributed computing principles and experience with technologies such as Spark, Hadoop, or similar frameworks.

• Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality solutions.

• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional team environment.

Shaily Pareek

shaily.pareek@nlineaxis.com