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Data Engineer 4

2 months ago

Charlotte, United States KCI Telecommunications Full time
Data Engineer 4

Join our dynamic team at our energy partner as a Data Engineer 4, where you will play a pivotal role in harnessing the power of data to optimize operations, enhance decision-making processes, and drive innovation in the rapidly evolving energy sector. As a seasoned professional, you will leverage your expertise to design, implement, and maintain robust data pipelines, ensuring the seamless flow of information critical to powering the future of sustainable energy solutions

Core Technical Skills

3 years of AWS experience

Hands-on Experience with AWS services - S3, EMR, Glue Jobs, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, Step Functions, Opensearch

Extensive Experience with EMR databases such as Glue Catalog, Lake Formation, Redshift, DynamoDB and Aurora

Required Tools and Languages - Python, Spark, PySpark and Pandas

Infrastructure as Code technology- specifically Terraform

Experience with Secrets Management Platform like Vault and AWS Secrets manager

Experience with DevOps pipeline (CI/CD) - Bitbucket; Concourse, Github, Jenkins

Experience with RDBMS platforms and Strong proficiency with SQL

Deep knowledge of IAM roles and Policies

Experience using AWS monitoring services like CloudWatch, CloudTrail ad CloudWatch events

Experience with AWS workflow orchestration tools like Airflow (MWAA), EventBridge, or Step Functions

Experience with Kafka/Messaging preferably Confluent Kafka

Experience with Event Driven Architecture

AWS Cloud Engineer Additional Technical Skills (nice to have, but not required for the role)

Experience with native AWS technologies for data and analytics such as Kinesis

Databases - Document DB, Mongo DB

Hadoop platform (Hive; HBase; Druid)

Java, Scala, Node JS

Workflow Automation

Experience transitioning on premise big data platforms into cloud-based platforms such as AWS

Strong Background in Kubernetes, Distributed Systems, Microservice architecture and containers

Experience with Rest APIs and API gateway

Deep understanding of networking DNS, TCP/IP and VPN

Core Responsibilities

Provides technical direction, guides the team on key technical aspects and responsible for product tech delivery

Lead the Design, Build, Test and Deployment of components

Where applicable in collaboration with Lead Developers (Data Engineer, Software Engineer, Data Scientist, Technical Test Lead)

Understand requirements / use case to outline technical scope and lead delivery of technical solution

Confirm required developers and skillsets specific to product

Provides leadership, direction, peer review and accountability to developers on the product (key responsibility)

Works closely with the Product Owner to align on delivery goals and timing

Assists Product Owner with prioritizing and managing team backlog

Collaborates with Data and Solution architects on key technical decisions

The architecture and design to deliver the requirements and functionality

Core Experience and Abilities

Ability to perform hands on development and peer review for certain components / tech stack on the product

Standing up of development instances and migration path (with required security, access/roles)

Develop components and related processes (e.g. data pipelines and associated ETL processes, workflows)

Lead implementation of integrated data quality framework

Ensures optimal framework design and load testing scope to optimize performance (specifically for Big Data)

Supports data scientist with test and validation of models

Performs impact analysis and identifies risk to design changes

Ability to build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications

Ensures Test Driven development

3 years of Experience leading teams to deliver complex products

Strong technical skills and communication skills

Strong skills with business stakeholder interactions

Strong solutioning and architecture skills

5 years of Experience building real time data ingestion streams (event driven)

Ensure data security and permissions solutions, including data encryption, user access controls and logging