Geo Spatial Sr. Developer Apply
<p class="MsoNoSpacing"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><b>Role: Geo Spatial Sr. Developer</b></span></span></p> <p class="MsoNoSpacing"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><b>Location: IL, USA</b></span></span></p> <p class="MsoNoSpacing"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Experience in yrs.:13 to 17Yrs<br /> Skills - GCP- Big Query, Apache Airflow, Python, Experience in DAGs</span></span><br /> </p> <p class="MsoNoSpacing"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><b> <span style="background:yellow"><span style="color:black">Please share resumes to</span></span></b></span></span></p> <p class="MsoNoSpacing"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><b><span style="background:yellow"><span style="color:black">pgo AT THE RATE OF Comtech-global DOT COM</span></span></b></span></span></p> <p class="MsoNoSpacing"><br /> <span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Experience required in areas: • Writing DAGs • Apache Airflow • GCP Big Query • Python<br /> <br /> Required Skills - GCP- Big Query, Apache Airflow, Python, Experience in writing DAGs<br /> Nice to have skills - GCP Services, CI/CD<br /> <br /> <b>Roles & Responsibilities :</b><br /> • Design Data Pipelines<br /> • Resolve Technical issues<br /> • Provide Technical assistance to the team<br /> • Perform Code Reviews.<br /> • Implement best practices<br /> • Recommend Technology and Architecture Improvements for Analytics Data Platform<br /> • Perform Proof of Concepts (POC) as required.<br /> • Perform Data Ingestion/Integration into GCP Big Query.<br /> • Create data interfaces and scripts to load the enterprise data warehouse, data lake, data marts and other analytics environments to support enterprise-wide data consumption<br /> • Follow templates and engineering patterns to reduce the time-to-deploy new data assets or changes to an existing data model or analytics solution<br /> • Leverage integration solutions and programming languages like SQL, Python.<br /> • Assist in optimizing and tuning data interfaces, jobs, and workflows<br /> • Partner with key business teams to understand their data needs and assist them in building the appropriate data interfaces to meet their business needs<br /> • Partner with the security and risk teams to build appropriate security and compliance into the data platform<br /> • Partner with the enterprise technology function to ensure effective and efficient operation of all data environments<br /> • Support continuous process improvement within the data & insights organization and functions<br /> • Cultivate strong relationships with all stakeholders of the data & insights team</span></span></p>
