Senior Data Engineer
2 weeks ago
CloudAnglesis an IP-driven services company that brings a wealthof expertise and a rigid sense of purposethat provides an empirical andinnovation-driven perspective to customer'sdigital transformation journey. We haveover 500+ yrs. of collective experiencewithin our executive team across IT leadership,engineering, consulting, and services which sets thebaseline for delivering end-user experiences that aredifferentiated.
Everyday, ourPeople of Change accomplishes extraordinary featsby pursuing our shared mission — to deliver on thepromise of technology and humaningenuity.
Utilizingadvanced technologies, data, and artificialintelligence, we create 360-degree value for ourclients, employees, and communities across allindustries and regions of the world.
Join our team —bring your ideas, creativity, and determination tomake a difference, and together we'll solve someof the world's greatest problems.
Job Description
Job Overview
Senior DataEngineers perform development activities within the data engineering team andprovide mentorship, guidance, onboarding, and training of other DataEngineers.You will work closely withproduct management, engineering, account management, ETL, data warehouse,business intelligence, and reporting teams as you develop data pipelines andenhancements investigate and troubleshoot issues, create data models, set upand investigate new technologies, and research complex data.You have a deep understanding of data modelling,structures, and data pipelines.
Roles and Responsibilities
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Building data pipelines using SQL, Snowflake, andother technologies.
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SQL Developer (Stored procedure, Functions)
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Triage complex incoming bugs and incidents and resolvethem.
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Perform technical operation tasks.
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Investigate and troubleshoot issues with data anddata pipelines.
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Participation in sprint refinement, planning, andkick-off to help estimate stories, raise awareness, and additionalimplementation details.
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Help monitor, maintain, and improve the performanceof the data pipeline.
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Performing, maintaining, and implementing newquality assurance rules, methods, and tools to maintain consistent and accuratedata.
Requirements
Knowledge
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Deep understanding of modern relational andnon-relational models and the differences between them.
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Knowledge of Agile environments, including Scrumand Kanban methodologies.
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Expertise in the use of REST API and JSON and the abilityto parse that data and convert it into relational models.
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Detail-oriented and able to examine data and codefor quality and accuracy.
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Able to lead and mentor more junior data engineers.
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Self-starter – taking initiative wheninefficiencies or opportunities are seen.
Skills(Technical)
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Expert in writing complex
SQL,
StoredProc, Functions
,
including pivots, window functions, and complexdate calculations.
·
Snowflake
experience strongly preferred.
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Knowledge in Python programming language is addadvantage.
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Proficient in the use of Excel and severalanalytical tools such as Tableau, MicroStrategy, PowerBI, etc…
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ETL experience preferred.
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Work Autonomously
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Collaborates with team members.
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Self-motivated and Drive results.
Typical Experience
·
5+ years
Typical Education
·
Preference is given to AWS Certified Developer -Associate certification OR Snowflake SnowPro.
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