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.