Hiring for Data Engineer-Data Brick/ AWS Cloud

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). 1 | Page

.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).

.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. Certifications (Preferred but not mandatory)

.AWS Certified Solutions Architect - Associate or Professional .Databricks Certified Data Engine