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AWS Data Engineer - Databricks and PySpark
Artmac Soft
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Experience as a Data Engineer with a strong focus on AWS cloud services.
- Proficiency in Databricks and PySpark, with hands-on experience building and managing ETL pipelines.
- Strong programming skills in Python and SQL.
- Experience with AWS data services such as S3, Lambda, Glue, Redshift, and EMR.
- Familiarity with data warehousing concepts and design.
- Knowledge of data governance, data quality, and data security best practices.
- Experience with version control systems (eg, Git) and CI/CD pipelines.
- Experience with real-time data processing and stream processing frameworks such as Kafka or Kinesis.
- Knowledge of data visualization tools like Tableau or Power BI.
- Experience with machine learning and data science workflows.
- AWS certifications such as AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
- Strong problem-solving skills with a keen attention to detail.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Ability to manage multiple tasks and projects simultaneously, prioritizing work to meet deadlines.
- Maintain comprehensive documentation of data pipelines, data models, and ETL processes.
- Create and update technical documentation for data-related processes and workflows.
Qualification:
- bachelors or masters degree in Computer Science, Information Technology, or a related field.
Employment Type: Full Time, Permanent
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Flexible timing
Alternate Saturday off
No travel
Day Shift
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