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AWS Data Engineer - ETL/Python (5-12 yrs) Bangalore/Pune/Chennai (Analytics &
Location:
Bangalore/Pune/Chennai
Description:
Job Description : AWS Glue + Python PysparkJob Overview :- 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.Location : India (Most Preferrable - Bangalore)Experience Level : 5-12 yearsRole Overview :- 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 data-driven projects.Primary Skills :- 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.Responsibilities :Data Pipeline Development :- 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.Workflow Automation :- Utilize AWS Managed Airflow (Apache Airflow) to orchestrate complex data workflows.- Schedule, monitor, and manage data processing tasks efficiently.Database Management :- Leverage your strong SQL skills to create and optimize database queries.Cloud Infrastructure :- Collaborate with architecture teams to design and implement AWS cloud infrastructure.- Ensure security, scalability, and cost-effectiveness of cloud resources.Support Project Processes :- Work closely with cross-functional teams to understand project requirements and deliverables.- Provide technical support during project execution and troubleshoot issues as needed.Optional Python Skills :- Familiarity with Python for scripting and automation tasks is a plus.Willingness to Work Late Hours :- The role involves working until 12:30 AM IST (Indian Standard Time) due to global project requirements.- Flexibility in working hours is essential.Qualifications :- 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 problem-solving skills and ability to work independently.- Excellent communication and collaboration skills.Benefits :- Competitive salary and benefits package.- Opportunity to work on cutting-edge cloud technologies.- Career growth and professional development. (ref:hirist.tech)
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More About this Listing: AWS Data Engineer - ETL/Python (5-12 yrs) Bangalore/Pune/Chennai (Analytics &
AWS Data Engineer - ETL/Python (5-12 yrs) Bangalore/Pune/Chennai (Analytics & is a Engineering Engineer Job at Change Leaders located in India. Find other listings like AWS Data Engineer - ETL/Python (5-12 yrs) Bangalore/Pune/Chennai (Analytics & by searching Oodle for Engineering Engineer Jobs.
AWS Data Engineer - ETL/Python (5-12 yrs) Bangalore/Pune/Chennai (Analytics & is a Engineering Engineer Job at Change Leaders located in India. Find other listings like AWS Data Engineer - ETL/Python (5-12 yrs) Bangalore/Pune/Chennai (Analytics & by searching Oodle for Engineering Engineer Jobs.