Data Engineer (Cloud)
Responsibilities
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. Strong knowledge of AWS cloud services (e.g., AWS Glue, Redshift, S3, Lambda, Kinesis, Athena, EMR). Build and optimize ETL/ELT workflows using AWS-native tools, Databricks, or IDMC. Understand event-driven architectures and microservices. Perform data modeling (e.g., Star Schema, Snowflake Schema). Use Python/R for data transformation, analytics, and statistical computing. Work with ML and AI frameworks for predictive modeling and healthcare analytics. Develop reports and dashboards using Power BI or Tableau. Implement Infrastructure as Code (IaC) using Terraform and CloudFormation. Apply CI/CD and DevOps best practices for data pipelines and cloud infrastructure. Ensure Identity and Access Management (IAM), security best practices, and data governance. Communicate complex technical solutions to non-technical stakeholders. Collaborate with cross-functional teams and manage multiple stakeholders.
Requirements 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. 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. 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. Preferred Certifications (Not Mandatory): AWS Certified Solutions Architect – Associate or Professional Databricks Certified Data Engineer Informatica IDMC Certification
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. Strong knowledge of AWS cloud services (e.g., AWS Glue, Redshift, S3, Lambda, Kinesis, Athena, EMR). Build and optimize ETL/ELT workflows using AWS-native tools, Databricks, or IDMC. Understand event-driven architectures and microservices. Perform data modeling (e.g., Star Schema, Snowflake Schema). Use Python/R for data transformation, analytics, and statistical computing. Work with ML and AI frameworks for predictive modeling and healthcare analytics. Develop reports and dashboards using Power BI or Tableau. Implement Infrastructure as Code (IaC) using Terraform and CloudFormation. Apply CI/CD and DevOps best practices for data pipelines and cloud infrastructure. Ensure Identity and Access Management (IAM), security best practices, and data governance. Communicate complex technical solutions to non-technical stakeholders. Collaborate with cross-functional teams and manage multiple stakeholders.
Requirements 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. 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. 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. Preferred Certifications (Not Mandatory): AWS Certified Solutions Architect – Associate or Professional Databricks Certified Data Engineer Informatica IDMC Certification