Data Engineer 182124

• 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,

• 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.

• 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.

• 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.

• 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**.