Offer summary

Qualifications:

Bachelor's degree in Computer Science, Data Science, or related field., Experience in data engineering, including building data pipelines and analytics., Proficiency in SQL, Python, and data transformation tools., Knowledge of AWS cloud services such as EC2, S3, Redshift, and Lambda..

Key responsibilities:

Develop and maintain data pipelines and APIs using various tools and AWS services.

Collaborate with team members to evaluate business needs and translate them into technical solutions.

Participate in project planning, defining milestones and resource requirements.

Design detailed specifications, user interfaces, and process flows for data systems.

Job description

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends. Candidates should be able to identify and remediate issues within cloud-based systems, based on their knowledge of industry standards and best practices.

Responsibilities

Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management
Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements
Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution
Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming
Develop data pipelines / APIs using a variety of tools, including but not limited to Python, SQL, Spark and various AWS services
Use an analytical, data-driven approach to drive a deep understanding of fast changing business
Build large-scale batch and real-time data pipelines with data processing frameworks in AWS
Moving data from on-prem to cloud and cloud data conversions

Desired Skills & Experience

Experience in data engineering with an emphasis on data pipelines, analytics and reporting
Exposure to the AWS Cloud Platform
Experience in SQL, data transformations, and troubleshooting across at least one database Platform (Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.)
Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines
Experience in a scripting languages such as Python
Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.