Data Engineer

1 month ago


Mumbai, India Domnic Lewis International Full time

Key Deliverables :

1. Implement data ingestion processes to extract data from various sources, including databases, APIs, and streaming platforms.

2. Develop and maintain Extract, Transform, Load (ETL) pipelines using AWS Glue, AWS Lambda, or custom scripts.

3. Perform data cleansing activity such as removing spaces, upper/lower, drop duplicate data, Renaming columns, etc.

4. Data Transformation with PySpark, Python and SQL.

5. Configure and optimize storage systems such as Amazon S3, Amazon Redshift, or Amazon DynamoDB to meet performance, scalability, and cost requirements.

6. Performance tuning of long running PySpark or SQL queries.

7. Monitor data pipelines, storage systems, and processing jobs to identify performance bottlenecks, data quality issues, and potential failures.

8. Optimize data processing workflows and infrastructure configurations to improve performance, reliability, and cost efficiency.

Role Requirements :

1. Bachelor's degree in Computer Science, Information Technology, or a related field.

2. Proven experience of 3+ years Data Engineer, preferably with hands-on experience in designing and implementing data solutions on AWS/Azure

3. Knowledge of Technical Skills such as PySpark, Python, SQL, AWS data Services (Glue, S3, EMR, Lambda and Redshift)

4. Good to have data visualization experience using python or any BI tools.

5. Strong knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) and implementation on AWS

(ref:hirist.tech)
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