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Data Engineer

Hartford, CT, United States

1. This job opportunity is for employment type W2 .

2. Candidates who are willing to apply must hold US work authorization.

Job Title: Data Engineer

Job ID: 2022-11187

Job Location: Hartford, CT

Job Travel Location(s):

# Positions: 2

Employment Type: W2

Candidate Constraints:

# of Layers: 0

Work Eligibility: All Work Authorizations are Permitted – No Visa Transfers

Key Technology: Pyspark, Python, AWS services, Teradata Vantage, CI/CD technologies, Terraform, SQL

Skills and Experience Required:

Good experience on designing and developing data pipelines for data ingestion and transformation using Spark.

• Distributed computing experience using Pyspark.

• Good understanding of spark framework and spark architecture.

• Experience working in Cloud based big data infrastructure.

• Excellent in trouble shooting the performance and data skew issues.

• Must have good understanding of spark run time metrics and tune applications based on metrics.

• Deep knowledge in partitioning, bucketing concepts of data ingestion.

• Good understanding of AWS services like Glue, Athena, S3, Lambda, Cloud formation.

• Preferred working knowledge on the implementation of datalake ETL using AWS glue, Databricks etc.

• Experience with data modelling techniques for cloud data stores and on prem databases like Teradata, Teradata Vantage (TDV)etc

• Preferred working experience in ETL development in Teradata vantage and data migration from on prem to Teradata vantage.

• Proficiency in SQL, relational and non-relational databases, query optimization and data modelling.

• Experience with source code control systems like Gitlab.

• Experience with large scale distributed relational and NoSQL database systems.

Technologies:

Pyspark, Python, AWS services, Teradata Vantage, CI/CD technologies, Terraform, SQL

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