Data Engineer

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., 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.

qualifications:

• 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.

skills:

AWS EKS,Agile methodologies,Apache Airflow,Alteryx,DynamoDB,EC2,Redshift,RDS,S3,SNS,SQS,AWS,AWS Cloud,AWS services,AWS-based,Angular,backend,Shell,Batch Processing,automated builds,build and deployment,Cloud,cloud-based,cloud-native,cloud environments,CloudWatch,CI/CD,Data Design,data platform,logging,data platforms,complex data pipelines,data processing,data structures,data solutions,Data visualization,database,databases,Datadog,Docker,ETL pipelines,force.com,front-end,Lambda,GitHub,Golang,observability tools,Groovy,IAM,data engineering,Javascript,Jenkins,NoSQL databases,NodeJs,Node.js,Oracle,OBIEE,Postgres,PostgreSQL,Power BI,Python,Proficiency in Python,relational databases,RDBMS,SQL,Salesforce,scripting languages,Snowflake,application development,Splunk,relational SQL,storage technologies,Tableau,quality testing,TypeScript,analytical,communication,reliability,architecting,automation,operational efficiency,actionable business insights,CRM Analytics,full stack development,image creation,Process Automation,security,scalability,testing