AWS Data Architect
6 days ago
Exp: 10+ years
Job Role : AWS Architect with Databricks
Job Location: Noida / Mumbai / Pune / Bangalore / Gurgaon / Kochi (Hybrid Work)
Role & responsibilities
- Design, build, and optimize ETL/ELT pipelines using Databricks (PySpark, Delta Lake) on AWS.
- Ingest and process structured, semi-structured, and unstructured data from multiple sources (RDBMS, APIs, streaming).
- Integrate AWS services such as S3, Glue, Lambda, Kinesis, Athena, Redshift with Databricks.
- Implement data quality checks, validation frameworks, and monitoring for production workloads.
- Optimize data storage, partitioning, and caching strategies for performance and cost efficiency.
- Collaborate with Data Architects and Analysts to design data models and lakehouse layers (raw, curated, semantic).
- Implement CI/CD pipelines for Databricks jobs and notebooks using Git-based workflows (e.g., CodeCommit, GitHub).
- Apply security best practices: IAM roles, encryption, VPC, and data governance policies.
- Work with stakeholders to understand data requirements and deliver scalable, reusable solutions.
- Participate in code reviews, peer programming, and Agile ceremonies.
Required Skills & Experience
- 3- 6 years of experience in Data Engineering (cloud-based preferred).
- Strong hands-on expertise in Databricks (PySpark, Delta Lake, SQL).
- Proficiency in AWS data services: S3, Glue, Lambda, Kinesis, Athena, Redshift.
- Experience in ETL/ELT design patterns and best practices.
- Strong Python and SQL skills for data manipulation and transformation.
- Knowledge of data warehousing, dimensional modeling, and lakehouse concepts.
- Experience with version control (Git) and DevOps tools.
- Understanding of data security, encryption, and governance on AWS.
Good to Have / Preferred
- AWS certifications: AWS Certified Data Engineer Associate / Professional or AWS Certified Solutions Architect Associate.
- DataBricks Certification: DataBricks certified Associate / Professional
- Experience with Glue or other orchestration tools.
- Exposure to machine learning pipelines in Databricks.
- Familiarity with Terraform or AWS CloudFormation for IaC.
- Experience in Agile/Scrum delivery models.
Education
- Bachelors or Masters degree in Computer Science, Information Systems, or related field.
Preferred candidate profile
Interested candidates , kindly share updated resume
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