Delhi, Delhi, India
Finance & Banking
Full-Time
Liberin Technologies
Overview
Responsibilities and Duties
Required Experience, Skills, and Qualifications
- Design, develop, and optimize scalable data architectures in AWS environments.
- Implement and manage data pipelines for real-time and batch data ingestion, processing, and transformation.
- Model relational and non-relational databases, ensuring efficiency and scalability.
- Manage and optimize databases in AWS using services such as Amazon RDS, Aurora, DynamoDB, S3, Glue, EMR, Lambda, Kinesis, and others.
- Develop and optimize ETLs/ELTs using tools like AWS Glue, Apache Spark, dbt, and Airflow.
- Ensure data quality, security, and governance through best practices and tools like Lake Formation and AWS IAM.
- Collaborate with Data Science, Analytics, and Development teams to optimize data access and processing.
- Implement data quality testing and automated validations.
Required Experience, Skills, and Qualifications
- Bachelor’s degree in Systems Engineering, Computer Science, Mathematics, Statistics, or related fields.
- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification (preferred).
- 3 to 5 years of experience in data engineering in cloud-first environments.
- Experience working with large-scale data (Big Data) and scalable architectures.
- Experience integrating data from multiple sources in structured and unstructured environments.
- Data Modeling: Experience in designing SQL and NoSQL databases optimized for performance and scalability.
- Cloud & AWS Data Services: Advanced knowledge of Redshift, RDS, DynamoDB, Glue, Kinesis, Lambda, EMR, S3, and other AWS data tools.
- Data Processing: Experience with Apache Spark, PySpark, Pandas, SQL, dbt, and Apache Airflow.
- Programming Languages: Strong proficiency in Python, SQL, Scala, or Java.
- Automation & DevOps: Experience with Terraform, Docker, and CI/CD for deploying data infrastructures.
- Optimization & Performance: Expertise in SQL query performance tuning, storage, and data processing optimization.
- Data Security & Governance: Implementation of access policies, auditing, and regulatory compliance (GDPR, HIPAA).
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