Data Engineer
Data Engineer
Posted on :
08-05-2025
Employer Active
1 Vacancy
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Job Description
Requirements:
- Bachelors degree in Computer Science Information Systems Engineering or related field.
- 3 to 4 years of experience working as a Data Engineer in a production environment.
- Handson experience with AWS Redshift AWS Data Lake and Snowflake.
Strong SQL skills and understanding of database concepts. - Experience in building and maintaining data pipelines using AWS Glue PySpark or Airflow.
- Familiarity with data warehousing concepts dimensional modeling and performance tuning.
- Proficient with Python or Scala for data transformation tasks.
Strong problemsolving and analytical skills. - Knowledge of data privacy security and compliance standards is a plus.
Experience with data cataloging tools like AWS Glue Data Catalog or Apache Hive Metastore. - Exposure to streaming data frameworks like Kinesis Kafka or Spark Streaming.
- Experience integrating BI tools (e.g. Power BI Looker Tableau) with Redshift or Snowflake.
- Familiarity with Terraform or IaC tools for managing data infrastructure is a bonus.
Responsibilities:
- Design develop and maintain scalable ETL/ELT pipelines for ingesting data from various sources into AWS Redshift AWS Data Lake and Snowflake.
- Build data models and schemas optimized for analytics reporting and data science use cases.
- Collaborate with data analysts product teams and software engineers to understand data requirements and deliver clean wellorganized datasets.
- Manage and monitor scheduled jobs to ensure data reliability quality and consistency.
- Implement data governance cataloging and security practices in accordance with organizational and compliance standards.
- Optimize SQL queries and ETL jobs for performance and costefficiency.
- Utilize AWS services like Glue Lambda S3 Athena Redshift Spectrum etc. to support data pipeline operations.
- Perform data validation and quality checks on ingestion and transformation layers.
- Troubleshoot and debug data issues across complex data pipelines and cloud environments.
Employment Type
Full Time
Key Skills
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