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Work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide insights to make better decisions.
Implement data migration and data analysis solutions and automate using RPA(AA).
Deliver intelligent automation solution by Automation 360 incorporating Data loading from various databases to Cloud.
Working with Databases (SQL / PostgreSQL) and application APIs for data handling and manipulation.
Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, and prod support.
Provide technical leadership and collaborate within a team environment as well as work independently.
Be a part of a DevOps team that completely owns and supports their product.
Implement batch and streaming data pipelines using cloud technologies.
Leads development of coding standards, best practices, and privacy and security guidelines.
Mentors others on technical and domain skills to create multi-functional teams.
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience/training.
1-3 years of software solution development using agile, and DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.
1-3 years of data analytics experience using SQL.
Preferred Qualifications:
1-3 years of RPA experience using Automation Anywhere.
1+ Years of Experience in Python Programming is essential.
1-3 years of cloud development experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure Power Apps, and Power BI.
1-3 years of data analytics experience using SQL.
1-3+ years of full-stack development experience, preferably in Azure.
1-3 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Airline Industry Experience.
Skills, Licenses and Certifications:
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation, and creating consumption layers.
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred).
Spark Certification (preferred).
A combination of Development, Administration, and Support experience in several of the following tools/platforms is required:
Scripting: Python, Spark, Unix, SQL.
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake.
Azure Data Explorer. Administration skills are a plus.
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions.
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform.
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana, Automation Anywhere.
Data Governance and Privacy: Alation, Monte Carlo, Informatica and BigID.
