Engineer
Apply NowCompany: Tata Consultancy Services
Location: Dallas, TX 75217
Description:
AWS Data Engineer
Knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.
designs, builds, and maintains data systems using Amazon Web Services (AWS)
Create data models, data pipelines, and data storage solutions
Build ETL (Extract, Transform, Load) pipelines and workflows
Create documentation for data pipelines, processes, and best practices
SQL, Programming (Python), PySpark, and AWS Services
Proficiency in AWS services, SQL, and data warehousing
Experience with data modeling, warehousing, and building ETL pipelines
Proficiency with AWS Tools: experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.
Programming Skills: Strong experience with modern programming languages such as Python, Spark, and Scala.
Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.
Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.
Salary Range- $100,000-$120,000 a year
#LI-SP3
#LI-VX1
Knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.
designs, builds, and maintains data systems using Amazon Web Services (AWS)
Create data models, data pipelines, and data storage solutions
Build ETL (Extract, Transform, Load) pipelines and workflows
Create documentation for data pipelines, processes, and best practices
SQL, Programming (Python), PySpark, and AWS Services
Proficiency in AWS services, SQL, and data warehousing
Experience with data modeling, warehousing, and building ETL pipelines
Proficiency with AWS Tools: experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.
Programming Skills: Strong experience with modern programming languages such as Python, Spark, and Scala.
Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.
Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.
Salary Range- $100,000-$120,000 a year
#LI-SP3
#LI-VX1