CodeKart - Data Engineer - ETL/Data Warehousing
1 week ago
Role : Data Engineer.
Experience :3 yr.
Location : Remote.
Responsibilities :
- Provide ongoing support and monitoring for AWS-based data engineering infrastructure.
- Ensure the smooth operation of data pipelines and applications in a production environment.
- Develop and maintain data pipelines, ETL processes, and data warehouses using AWS services.
- Design and implement data models that effectively capture and organize data.
- Implement data quality checks and validation processes to ensure data accuracy and integrity.
- Use SQL, Python, and PySpark to analyze and extract insights from large datasets.
- Collaborate with DevOps teams to automate deployment and management of data engineering infrastructure.
Qualifications :
- 3 to 5 years of experience in data engineering or a related field. Strong proficiency in AWS services such as EMR, Glue, Lambda, SNS, EventBridge, Redshift, and Jupyter.
- Expertise in Python, PySpark, and SQL for data processing and analysis.
- Understanding of Unix/Linux operating systems. Experience with data warehousing and data modeling concepts.
- Knowledge of DevOps practices and tools CI/CD, Git, Docker.
- Strong problem-solving and troubleshooting skills.
- Ability to work independently and as part of a team.
Key Skills : AWS, Python, PySpark, SQL, Unix, EMR, Glue, Lambda, SNS, EventBridge, Redshift, Jupyter, data engineering, data warehousing, data modeling, DevOps.
- Problem-solving, troubleshooting, communication, collaboration, teamwork, adaptability, time management.
Additional Considerations :
- Experience with banking domain processes and environments would be a plus.
- Familiarity with data governance and compliance requirements is beneficial.
- Knowledge of data visualization tools (e.g., Tableau, Power BI) is helpful.
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