This job offer is not available in your country.

Data Engineer - ETL / Data Pipeline

Grizmo Labs Private LimitedBangalore

30+ days ago

Job description

We are seeking a skilled Data Engineer with 3-4 years of experience in building and maintaining robust data pipelines. The ideal candidate will have a strong command of AWS services and be proficient in both SQL and NoSQL databases. Attention to detail, a commitment to data integrity, and the ability to manage large-scale data workflows are essential for this role.

Responsibilities :

Design, develop, and maintain scalable data pipelines and ETL processes to handle large volumes of data efficiently.
Ensure data integrity and reliability by implementing data validation, cleansing, and transformation processes.
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and support data-driven decision-making.
Optimise data workflows and storage solutions to improve performance and reduce costs.
Develop and maintain database schemas, queries, and stored procedures using SQL and NoSQL databases.
Deploy and manage data infrastructure on cloud platforms like AWS or Azure, ensuring optimal performance and security.
Implement best practices for data governance, security, and compliance.
Monitor and maintain data systems in production, troubleshoot issues, and provide timely solutions.
Stay up-to-date with the latest technologies and trends in data engineering, and apply them to the project when necessary.
Write and maintain documentation related to data pipelines, data models, and other technical aspects of the :
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
At least 3-4 years of experience in data engineering, with a focus on building and maintaining data pipelines and ETL processes.
Strong proficiency in SQL and experience with database systems such as MySQL, PostgreSQL, or MongoDB.
Experience with big data technologies like Apache Spark, Hadoop, or Kafka.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and experience with services like S3 Redshift, Dataflow, or

BigQuery.

Strong problem-solving and analytical skills, with the ability to work independently and in a team environment.

Good communication and interpersonal skills, with the ability to collaborate effectively with other team members and

stakeholders.

Experience with data warehousing and data modeling is a plus.

(ref : hirist.tech)

Create a job alert for this search

Data Pipeline Engineer • Bangalore