Data Engineer

Postion Overiew We are hiring a Data Engineer (2 years Direct Contract) for data migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)

Roles and responsibilities

Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake

Integrate Informatica IDMC for metadata management and data cataloging

Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance

Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica Power Center/IDMC for data transformation and quality

Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica Power Center/IDMC for optimizing data workflows

Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance

Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation

Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC

Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica Power Center/IDMC environments

Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements

Create, manage, and optimize data visualization process using as Tableau, OAS or Power BI

Stay up-to-date with AWS, Databricks, Informatica Power Center/IDMC services, and data engineering best practices to recommend and implement new technologies and techniques

Requirements

Bachelor’s or master’s degree in computer science, data engineering, or a related field

Minimum 8 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica Power Center/IDM

Proficiency in programming languages such as Python, Java, or Scala for building data pipelines

Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes

Strong knowledge of SQL and NoSQL databases

Familiarity with data modeling and schema design

Excellent problem-solving and analytical skills

Strong communication and collaboration skills

AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

Preferred Skills:

Experience with big data technologies like Apache Spark and Hadoop on Databricks

Knowledge of data governance and data cataloguing tools, especially Informatica IDMC

Familiarity with data visualization tools like Tableau or Power BI

Knowledge of containerization and orchestration tools like Docker and Kubernetes

Understanding of DevOps principles for managing and deploying data pipelines

Experience with version control systems (e.g., Git) and CI/CD pipelines