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.
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