AWS + Pyspark bei Cognizant

%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ESkills- AWS +Pyspark%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EExperience: 4 to 9 years%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ELocation: AIA-Pune%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E%3Co:p%3E %3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EAs an AWS Data Engineer, you will design, build, and manage robust data pipelines on the AWS cloud platform. You will leverage your expertise in AWS data services and programming languages to ingest, process, transform, and store data efficiently, enabling data-driven insights and decision-making.%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E%3Co:p%3E %3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EKey Responsibilities :%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E%3Co:p%3E %3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Data Pipeline Development: Design, implement, and maintain scalable data pipelines using AWS services such as S3, Glue, Lambda, EMR, and Kinesis.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Data Processing and Transformation: Utilize PySpark, Spark, and SQL to perform complex data transformations and aggregations on large datasets within the AWS ecosystem.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Data Storage and Management: Design and implement data storage solutions using Amazon S3, RDS, DynamoDB, and Redshift, ensuring data quality, integrity, and accessibility.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Data Modeling and Warehousing: Develop and maintain data models to support analytics and reporting, leveraging Redshift as the data warehousing solution.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Infrastructure and Cloud Technologies: Provision and manage scalable data infrastructure using EC2, VPC, IAM, CloudFormation, and other relevant AWS services.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Performance Optimization and Monitoring: Continuously monitor and optimize data pipelines and systems using CloudWatch, identifying and resolving performance bottlenecks.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Collaboration and Knowledge Sharing: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide technical guidance.%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E%3Co:p%3E %3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EQualifications :%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E%3Co:p%3E %3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Proficiency in Python, SQL, PySpark, and Spark.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Strong expertise in AWS data services (S3, Glue, Lambda, EMR, Redshift, DynamoDB, RDS).%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Experience with data warehousing, ETL processes, and data modeling.%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E- Excellent problem-solving, analytical, and communication skills.%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22 style=%22margin-bottom:0cm;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:10.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3E%3Co:p%3E %3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E Jetzt bewerben