Role Title: AWS Data Engineer

Hybrid with 2 day in the office/week

Contract duration: 6+ months

Location: Northampton

Industry: Banking

AWS Lead Data Engineer with a minimum 7-8 years of experience in AWS services relevant to data engineering. Target Data ware house would be on Redshift/ Snowflake so the ideal candidate should also have working knowledge of the same.

Key Skills required:

AWS

Big data

Spark

• Must have: Hands-on experience in AWS services – S3, Glue, EC2, Data Lake formation, Lambda, Step function, Cloud formation, SNS, SQS, Event Bridge, Athena, Dynamo DB, IAM, Redshift, Kinesis stream, Kinesis firehose, EKS and Confluent Kafka.

Coding Languages – Python, Spark, PySpark and SQL.

• Should have: Snowflake and DBT (Data Build Tool) for managing transformations in the data pipeline

Areas of responsibility:

Coding

Design

Deployment

Detailed Job Description:

Data Engineering Lead will be proficient in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, Lake formation and Lambda etc. with hands-on experience with Snowflake, Redshift based cloud data warehousing solutions.

• Should be familiar with DBT (Data Build Tool) for managing transformations in the data pipeline

• Should possess strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio for building data pipelines and ETL processes

• Should have experience with data pipeline orchestration tools like Apache Airflow, Cron

• Should have understanding of data modelling Principles and best practices

• Prior experience of leading Data Engineering Team

• Agile Practitioner; Strong Stakeholder Management