Data Engineer (Cloud)_Contract - Part-Time

Responsibilities

·       Define, develop, and maintain blueprints, roadmaps, and reference architectures for data analytics infrastructure and services.

·       Analyze new requirements, develop solutions, and manage solution delivery through acquisition or change control.

·       Enhance cloud capability by designing and implementing cloud-based data analytics architectures and patterns.

·       Lead data migration and modernization initiatives by leveraging AWS-native services, Databricks, and IDMC.

·       Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.

·       Develop and implement automation playbooks for managing and scaling cloud services, containers, and applications.

·       Ensure compliance with industry best practices, governance, and security guidelines for cloud-based analytics solutions.

·       Collaborate with DevOps and other Data Engineering teams to define, implement, and optimize data pipelines, ETL/ELT processes, and data lakes.

·       Assist in vendor management to ensure that contracted vendors deliver architecturally scalable and sustainable solutions.

Requirements

Education& Experience:

·       Degree/Master’s in Computer Science, Information Technology, Computer Engineering, or equivalent.

·       Minimum 5 years of experience in data warehousing, big data, or advanced analytics solutions.

Technical Skills:

Databases& Data Management:

·       Experience with databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks).

·       Expertise in data repository design (e.g., operational data stores, data marts, data lakes).

·       Proficiency in data query techniques (e.g., SQL, NoSQL, Spark SQL).

·       Hands-on experience with Databricks (Delta Lake, MLflow, Spark).

·       Experience with Informatica Data Management Cloud (IDMC) for data integration, transformation, and governance.

Cloud Data& Analytics:

·       Must-have: Strong knowledge of AWS cloud services (e.g., AWS Glue, Redshift, S3, Lambda, Kinesis, Athena, EMR).

·       Experience in building and optimizing ETL/ELT workflows using AWS-native tools, Databricks, or IDMC.

·       Understanding of event-driven architectures and microservices.

Data Analytics& Machine Learning:

·       Data modeling experience (e.g., Star Schema, Snowflake Schema).

·       Proficiency in Python/R for data transformation, analytics, and statistical computing.

·       Hands-on experience with ML and AI frameworks for predictive modeling and healthcare analytics.

·       Experience in data visualization tools (e.g., Power BI, Tableau).

DevOps &Security:

·       Infrastructure as Code (IaC): Terraform, CloudFormation.

·       CI/CD & DevOps best practices for data pipelines and cloud infrastructure.

·       Identity and Access Management (IAM), security best practices, and data governance.

Soft Skills:

·       Strong problem-solving and critical thinking skills.

·       Ability to communicate complex technical solutions to non-technical stakeholders.

·       Proven experience in working with cross-functional teams and managing multiple stakeholders.

·       Healthcare data governance and compliance knowledge is a plus.