Senior Data Engineer
3 weeks ago
At Zenfinet Solutions Private Limited, we are seeking a highly skilled Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust and scalable data pipelines using AWS services like S3, Glue, EMR, and Redshift.
Key Responsibilities:- Develop ETL processes to extract, transform, and load data from various sources (e.g, databases, APIs, files) into the data warehouse.
- Optimize data pipelines for performance and efficiency to ensure timely data delivery.
- Demonstrate deep knowledge of AWS services relevant to data engineering, including S3, EC2, RDS, Redshift, Glue, EMR, and Lambda.
- Architect and implement data solutions on the AWS cloud platform, leveraging best practices and security standards.
- Troubleshoot and resolve AWS-related issues.
- Write efficient and maintainable Python code for data processing, analysis, and automation tasks.
- Utilize SQL to query and manipulate data within relational databases.
- Develop and optimize SQL queries for performance and scalability.
- Implement data quality checks and validation processes to ensure data accuracy and integrity.
- Define and enforce data governance policies and standards.
- Collaborate with data analysts and scientists to understand data requirements and ensure data quality meets their needs.
- Design and implement data warehouses and lakehouses to store and manage large datasets.
- Optimize data warehouse performance and query performance.
- Implement data partitioning, indexing, and compression strategies.
- Develop data models that effectively capture and represent business requirements.
- Create dimensional and normalized data models as needed.
- Work closely with data analysts, scientists, and business stakeholders to understand their data needs and provide solutions.
- Collaborate with other engineering teams to ensure seamless data integration and delivery.
- Mentor junior team members and share knowledge.
- 8-10 years of experience in data engineering or a related field.
- Strong proficiency in AWS services, including S3, EC2, RDS, Redshift, Glue, EMR, and Lambda.
- In-depth knowledge of Python and SQL for data processing and analysis.
- Experience with data warehousing and lakehouse concepts.
- Understanding of data modeling and data quality best practices.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
- Experience with Apache Spark and PySpark for big data processing.
- Knowledge of data visualization tools (e.g, Tableau, Power BI).
- Familiarity with cloud-native technologies and containerization (e.g, Docker, Kubernetes).
- Experience with data governance and compliance frameworks (e.g, GDPR, CCPA).
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