Marsh mclennan is seeking candidates for the following position that can be based remotely.
Talend/etl developer
What can you expect?
Marsh & mclennan companies, incIs a global professional services firm, headquartered in new york city with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consultingIt comprises the operating companies marsh, mercer, guy carpenter, jlt and oliver wyman.
Mgti or marsh & mclennan technology infrastructure team is responsible for support for all companies under the marsh & mclennan.
As a data integration developer in the centralized operations data analytics under mgti, you will be responsible to design and build data pipelines to accelerate the delivery of innovations and insights, identifying trends, and uncovering new insights and helping us create new productsYou will work with highly motivated individuals to solve complex and interesting data problems that are highly impactful to our customers and to our firmYou will report to an established manager with a focus on modern data solution development and problem solving.
What is in it for you?
150 years strong, the most sustainable company, best places to work for lgbtq equality in 2021 as recognized by human rights campaign foundation and with a great progressive culture https://www.marshmclennan.com/about/culture.html
Exposure to strong senior leadership, at the forefront of new decisions, opportunity to work on exciting projects as part of a program that is on the executive committee agenda
Outstanding benefits include generous pension contribution, health (physical and mental), vacation (25 days paid time off, 10 holidays and 10 sick days) and pto for non-profit community service
In addition, many more corporate discounts...
What we will count on you to:
Design and build scalable data pipelines to ingest, store and process very large amounts of data (structured, semi-structured and unstructured)
Build best-in-class etl/elt-based solutions for effective data ingestion and transformation.
Be an expert in all things data, including data wrangling, aggregation, summarization, and analysis.
Produce and be responsible for solution development and design documentation - govern solutions where other developers and testers are involved.
Enforce development best practices, standards, and strategy while understanding technical debt`s concept and managing it effectively to a conclusion.
Gather reporting and analysis requirements and translate them into reporting structures including aggregate tables, relational and dimensionalProfile and analyze source data to determine the best reporting structures..
What you need to have:
5+ years of experience with data ingestion/etl/elt, big dataExpertise in implementing talend in bigdata environment (must have)
Expert in advance sql and talend etl mapping design and development, follows best practices for coding and performance tuning and iterative development approach (must have).
2+ years of experience working with restful apis and data modeling within talend and nosql databases.
Ability to work in a fast-paced environment as both an individual contributor and collaborator.
Strong problem-solving and troubleshooting skillsPrior hands-on experience delivering self-service data solutions.
Bachelor’s degree in computer science, engineering or technology fieldMaster’s degree or relevant work experience a definite plus
What makes you stand out?
Solid background of etl development using tools like talend.
Experience with mongodb data lake operations and development.
Programming experience in at least one of the languages – java or python.
Experience working in a unix or linux environment.
Data ingestion using rest apis (internal or 3rd party).
Exposure to data analytics and virtualization platforms - dremio preferred.
Knowledge of reporting tools like tableau
Familiarity with streaming and real-time data operations or pub/sub messaging concepts and analytics based on search engines like elasticsearch (a plus).
Recognized technical certifications in applicable tools and methodologies.
