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• No of position :- ( 1 )

• Post :- 5th Aug 2021

Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.

Here at Lyft, Data is the only way we make decisions. It is the core of our business, helping us create an exceptional transportation experience for our customers and providing insights into the effectiveness of our product launch features. The mission of our Business Intelligence team is to
make data the heart of every human decision at Lyft. We do this by integrating closely with product and business areas, to effectively build well engineered, technically viable and scalable data products. We're looking for someone who has a passion for diving into data, unraveling the
complexities, and building powerful data solutions. Your efforts will allow accessibility to business and user behavior insights, leveraging huge amounts of Lyft data to fuel several teams such as Product, Engineering, Marketing, Growth, Finance and
many others. You'll be diving deep into our vast incoming data streams, crafting structured schema, and presenting data to the right stakeholders to impact decisions across the company. The ideal candidate is technically savvy, business minded, and exceptionally driven. If you're sharp,
highly analytical, resourceful, have sound engineering skills and can communicate complex ideas with ease, then we'd like to talk to you.

• Responsibilities
• Own and architect data models used across various stakeholders
• Partner with analysts, engineers, and business stakeholders to understand data visualization needs and domains
• Develop well designed, end-to-end data solutions that enable crucial decisions at all levels
• Support project development life cycles through data modeling, transformation, reporting and analytics on big data
• Enable our consumers by designing well-structured training and documentation

Experience & skills:

• B.S. in a computer science or other technical field
• 5+ years industry experience building ETL and data modeling
• Expertise in SQL query performance optimization (Redshift, PostgreSQL) and big data frameworks (Hive, MapReduce)
• Experience in ETL development using Python is preferred
• Excellent communication skills, oral and written

Experience/Skills Required:

• Bachelor’s degree in Computer Science, Information Technology, or related field and 5 years’ experience in computer programming, software development or related
• 3+ years of solid Java and 2+ years’ experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, Hbase
• Hands on experience with Unix, Teradata and other relational databases. Experience with Scale a plus.
• Strong communication and problem-solving skills

• Experience in Scala
• Experience in Python
• Experience in Cloud