- Candidate should be responsible for the configuration, administration, and optimization of the AWS Glue + Python Pyspark platform.
- This role involves ensuring the smooth operation of AWS Glue + Python Pyspark for data integration, transformation, and loading tasks in alignment with the organization's data requirements.
- We are seeking a highly skilled and motivated Senior Cloud Data Engineer to join our dynamic team.
- As a key member of our cloud engineering group, you will play a crucial role in designing, implementing, and maintaining data pipelines and workflows on AWS.
- Your expertise in AWS Glue, AWS Redshift, AWS Managed Airflow, SQL, and optionally Python will be essential in ensuring the success of our datadriven projects.
- AWS PySpark Python programming.
- He has to do coding in day to day activities and also expected to review the code developed by the team.
- Must be aware of AWS services like Glue, redshift, S3, Airflow etc.
- Candidate is expected to manage stakeholder management along with mentoring the offshore team.
- Candidate must have technical expertise to advise effective solutions to the client on AWS platform.
- Design, develop, and maintain ETL processes using AWS Glue to extract, transform, and load data from various sources (including S3, ORC/Parquet/Text files) into AWS Redshift.
- Optimize data pipelines for performance, scalability, and reliability.
- Implement data aggregation, consolidation, and enrichment.
- Utilize AWS Managed Airflow (Apache Airflow) to orchestrate complex data workflows.
- Schedule, monitor, and manage data processing tasks efficiently.
- Leverage your strong SQL skills to create and optimize database queries.
- Collaborate with architecture teams to design and implement AWS cloud infrastructure.
- Ensure security, scalability, and costeffectiveness of cloud resources.
- Work closely with crossfunctional teams to understand project requirements and deliverables.
- Provide technical support during project execution and troubleshoot issues as needed.
- Familiarity with Python for scripting and automation tasks is a plus.
- The role involves working until 12:30 AM IST (Indian Standard Time) due to global project requirements.
- Flexibility in working hours is essential.
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- AWS certifications (e.g., AWS Certified Data Analytics
- Specialty) are advantageous.
- Strong problemsolving skills and ability to work independently.
- Excellent communication and collaboration skills.
- Competitive salary and benefits package.
- Opportunity to work on cuttingedge cloud technologies.
- Career growth and professional development.
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AWS Data Engineer - Chennai, India - Change leaders
Description
Job Description :
AWS Glue + Python Pyspark
Job Overview :
Location :
India (Most Preferrable - Bangalore)
Experience Level : 5-12 years
Role Overview :
Primary Skills :
Responsibilities :
Data Pipeline Development :
Workflow Automation :
Database Management :
Cloud Infrastructure :
Support Project Processes :
Optional Python Skills :
Willingness to Work Late Hours :
Qualifications :
Benefits :