AWS Data Engineer
3 weeks ago
Location: Hyderabad, Bangalore and Pune
Experience: 3-6 Years
Work Mode: Hybrid
Mandatory Skills: Python, Pyspark, Airflow, Databrics, ETL, Data Pipelines, and AWS (S3, Lambda, and Redshift)
About The Role
We are looking for a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will work with AWS, Python, PySpark, and Databricks to build, maintain, and optimize data pipelines, process large datasets, and utilize cloud-based tools for data analytics and transformation. If you are passionate about data engineering and eager to work with cutting-edge technology, this role is for you
Key Responsibilities
- Design, build, and maintain scalable and efficient data pipelines using AWS services such as S3, Lambda, and Redshift.
- Leverage Python and PySpark for data processing, data manipulation, and transformation of large datasets.
- Work with Databricks to process and analyze large datasets in a distributed environment.
- Optimize data processing workflows and ensure high performance, scalability, and reliability.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Identify and troubleshoot data issues, ensuring the quality and accuracy of data pipelines.
- Contribute to the continuous improvement of processes, tools, and best practices in data engineering.
Required Skills & Qualifications
- Experience: 3-6 years of experience in data engineering or related roles with a strong focus on data pipeline development and management.
- AWS Expertise: Proficient in AWS services such as S3, Lambda, and Redshift.
- Programming Skills: Strong knowledge of Python for scripting and data processing, and PySpark for distributed data processing.
- Databricks: Hands-on experience with Databricks for large-scale data processing.
- Data Pipelines: Experience in building, deploying, and managing data pipelines that support analytics and reporting requirements.
- Problem-Solving: Excellent problem-solving skills and strong attention to detail to identify and resolve issues in data workflows.
- Collaboration: Ability to work in a collaborative environment and communicate effectively with both technical and non-technical teams.
Education
B.Tech in any branch or specialization
Skills: etl,skills,data processing,processing,data engineering,pyspark,amazon redshift,data pipeline,data pipelines,aws (s3, lambda, redshift),databricks,airflow,s3,pipelines,datasets,python,aws,data
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