What are the responsibilities and job description for the AWS Data Engineer position at Jay Analytix?
We are seeking a skilled AWS Data Engineer to join our team and help shape the future of data management and analytics for our organization. In this role, you will work with a variety of AWS services to design, build, and optimize data pipelines, enabling data-driven decision-making at scale.
Requirements :
Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.
- 4 years of experience in data engineering or related fields.
- Strong expertise in SQL and experience with Redshift stored procedures.
- Proficiency with AWS services, including S3, Lambda, DynamoDB, Step Functions, RDS, SNS, and SQS.
- Experience with data engineering tools such as EMR, Glue, and Redshift.
- Strong knowledge of databases, including PostgreSQL and Aurora.
- Experience with data modeling techniques, including Star / Snowflake Schema Design.
- Proficiency in Python and PySpark for data manipulation and processing.
- Knowledge of serverless architectures and experience with AWS Lambda and Step Functions.
- Strong SQL skills for querying and managing data.
- Familiarity with data warehousing concepts, including Datamarts and Multi-Dimensional OLAP.
- Familiarity with data processing frameworks such as Apache Spark or Hadoop.
- Knowledge of programming languages such as Python or Java for data manipulation and automation.
- Strong understanding of data governance and best practices for data quality.
- Experience working in Agile development environments.
- Excellent problem-solving skills and attention to detail.
- Strong verbal and written communication skills, with the ability to present information clearly to stakeholders.
Nice to Have :
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