Pune, Maharashtra, India
Space Exploration & Research, Information Technology
Full-Time
Deqode
Overview
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and architectures using AWS services.
- Implement ETL/ELT processes using AWS Glue, Lambda, and Step Functions.
- Work with structured and unstructured data across S3, Redshift, and other AWS data services.
- Develop data integration workflows to collect, process, and store data efficiently.
- Optimize performance and cost of data pipelines.
- Monitor and troubleshoot data pipeline failures using CloudWatch and related tools.
- Collaborate with data analysts, data scientists, and other stakeholders to ensure data availability and quality.
- Apply best practices for security and governance of data assets on Skills :
- 3+ years of experience in Python, SQL, and PySpark.
- AWS Glue
- AWS Lambda
- Amazon S3
- Amazon EC2
- Amazon Redshift
- CloudWatch
- Experience in building and maintaining ETL pipelines.
- Knowledge of data lake and data warehouse architecture.
- Familiarity with DevOps tools and CI/CD pipelines is a plus.
- Good understanding of data governance and security best practices on AWS.
- AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
- Experience with other cloud platforms (Azure, GCP) is a plus.
- Exposure to tools like Apache Airflow, Kafka, or Snowflake is an added advantage.
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