AWS Data Engineer

1 month ago

BangalorePuneChennai, India Change leaders Full time

Job Description : AWS Glue + Python Pyspark

Job 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 years

Role 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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