Data Engineer 182124

The Expertise and Skills You Bring

Education & Experience

·Bachelor’s degree, preferably in Engineering or Business.

·10+ years of full stack development experience with architecting, designing, developing, maintaining multi-tier applications and database.

·Hands on experience with relational SQL and NoSQL databases, including Snowflake, Oracle, RDS Postgres, DynamoDB and Redshift.

·Strong expertise with the following desired skills: Python, SQL, Shell, Cloud (AWS), Angular, Javascript, NodeJs and Test and Deployment technologies.

·Hands-on experience with API design & development, AWS (Cloud) Development/Migration, Data Design, Batch Processing, Workflow/Process Automation and UI

·Cloud skills working with AWS EKS/ECS and AWS handled solutions such as Lambda, SQS, EC2, S3, CloudWatch and IAM roles/policies.

·Proficiency in building data engineering pipelines.

·Experience using logging/observability tools such as Datadog, Splunk and AWS Cloud watch

·Strong CI/CD skills including full scale security and quality testing, build and deployment automation.

·Data visualization and ability to synthesize data for actionable business insights using tools, Tableau, OBIEE, CRM Analytics, Power BI, Alteryx, Apache Airflow

·Experience in building application in Salesforce using force.com, lightning, aura.

·Excellent analytical, communication and preparation skills and the ability to run with multiple tasks at a given time.

·Proficient with Agile methodologies.

Required Technical Expertise (Must Have)

·Strong hands-on experience building and maintaining ELT/ETL pipelines to move and transform data across heterogeneous data platforms, including Snowflake, Oracle, and PostgreSQL.

·Deep understanding of data structures, relational databases, and cloud-native storage technologies across Snowflake, Oracle, Postgres, and other cloud-based RDBMS platforms.

·Proficiency in Python and SQL, with practical experience using scripting languages such as Shell and Groovy for automation and data processing.

·Proven experience designing, implementing, and orchestrating complex data pipelines using Apache Airflow and/or Control?M, with a focus on scalability, reliability, and operational efficiency.

·Hands-on expertise with Docker, including container image creation, multi-stage builds, container registries, and secure, scalable container-based deployments.

·Strong experience implementing CI/CD pipelines using GitHub and Jenkins, including automated builds, testing, deployments, and adherence to security and quality procedures.

Cloud & Platform Experience

·Proven understanding of core AWS services, including Lambda, SQS/SNS, EC2, S3, CloudWatch, and IAM roles/policies, supporting data and application workloads in cloud environments.

Preferred / Nice to Have

·Exposure to modern front-end and application development technologies such as Angular, Node.js, and TypeScript.

·Experience working with additional cloud-native databases such as AWS DynamoDB.

·Familiarity with Go (Golang) for backend or data platform development.

·Broader experience supporting data solutions across PostgreSQL and AWS-based architectures.