Data Engineer
POSITIONOVERVIEW : Data Engineer (Cloud)
POSITIONGENERAL DUTIES AND TASKS :
Position Name: Data Engineer (Cloud)
Term: 12 Months
Minimum Relevant Experience: 5 Years
Start Date: Immediate
Key Skills: Oracle, MS SQL, MySQL, Teradata, Databricks, Informatica, AWS cloud services, ETL, ML, AI, IaC, CI/CD, Informatica IDMC Certification
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.
TechnicalSkills:
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.
CloudData & 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 modelling 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. SoftSkills: 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. Certifications (Preferred but not mandatory) AWS Certified Solutions Architect - Associate or Professional Databricks Certified Data Engineer Informatica IDMCCertification
Data Analytics & Machine Learning: Data modelling 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. SoftSkills: 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. Certifications (Preferred but not mandatory) AWS Certified Solutions Architect - Associate or Professional Databricks Certified Data Engineer Informatica IDMCCertification