Contract Hire - 6 Months

Scala/Akka, Microservices, Akka streams, Play, Kafka, NoSQL. Java/J2EE, Spring, Architecture & Design, Enterprise integration ML/Data analytics, BigData technologies, Python/R programming, ML Algorithms/data models, ML tools(H2O/Tensorflow/Prediction.io), Realtime dashboards & batch, cluster compute (Spark/Akka), Distributed Data platforms (HDFS, Elastic search, Splunk, Casandra), Kafka with cross DC replication, NoSQL & In-memory DB

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Subodh Popalwar

Software Engineer, Memorres

For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

Companies hiring on Cutshort

About MY Remote Developer

Founded

Type

Size

Stage

About

N/A

Company social profiles

N/A

Similar jobs

Machine Learning Engineer

at Contact Center software that leverages AI to improve custome

Agency job

via Qrata by Rayal Rajan

Bengaluru (Bangalore)

4 - 8 yrs

₹17L - ₹40L / yr

Data Science

Machine Learning (ML)

Natural Language Processing (NLP)

Amazon Web Services (AWS)

Python

+4 more

Role: Machine Learning Engineer

As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.

Basic Qualifications

• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent

Senior Software Engineer

at Digital Banking Firm

Agency job

via Qrata by Prajakta Kulkarni

Bengaluru (Bangalore)

5 - 10 yrs

₹20L - ₹40L / yr

Apache Kafka

Hadoop

Spark

Apache Hadoop

Big Data

+5 more

Location - Bangalore (Remote for now)

Designation - Sr. SDE (Platform Data Science)

About Platform Data Science Team

The Platform Data Science team works at the intersection of data science and engineering. Domain experts develop and advance platforms, including the data platforms, machine learning platform, other platforms for Forecasting, Experimentation, Anomaly Detection, Conversational AI, Underwriting of Risk, Portfolio Management, Fraud Detection & Prevention and many more. We also are the Data Science and Analytics partners for Product and provide Behavioural Science insights across Jupiter.

About the role:

We’re looking for strong Software Engineers that can combine EMR, Redshift, Hadoop, Spark, Kafka, Elastic Search, Tensorflow, Pytorch and other technologies to build the next generation Data Platform, ML Platform, Experimentation Platform. If this sounds interesting we’d love to hear from you!
This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.

Key Responsibilities:

Participate, Own & Influence in architecting & designing of systems
Collaborate with other engineers, data scientists, product managers
Build intelligent systems that drive decisions
Build systems that enable us to perform experiments and iterate quickly
Build platforms that enable scientists to train, deploy and monitor models at scale
Build analytical systems that drives better decision making

Required Skills:

Programming experience with at least one modern language such as Java, Scala including object-oriented design
Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Bachelor’s degree in Computer Science or related field
Computer Science fundamentals in object-oriented design
Computer Science fundamentals in data structures
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Experience in databases, analytics, big data systems or business intelligence products:
Data lake, data warehouse, ETL, ML platform
Big data tech like: Hadoop, Apache Spark

Location - Bangalore (Remote for now)

Designation - Sr. SDE (Platform Data Science)

Required Skills:

Data Architect (SG0601)

at EnterpriseMinds

2 recruiters

Posted by phani kalyan

Pune

9 - 14 yrs

₹20L - ₹40L / yr

Spark

Hadoop

Big Data

Data engineering

PySpark

+3 more

Job Id: SG0601

Hi,

Enterprise Minds is looking for Data Architect for Pune Location.

Req Skills:
Python,Pyspark,Hadoop,Java,Scala

Big Data Engineer

at Virtusa

2 recruiters

Posted by Priyanka Sathiyamoorthi

Chennai

11 - 15 yrs

₹15L - ₹33L / yr

Spark

Hadoop

Big Data

Data engineering

PySpark

+3 more

We are looking for a Big Data Engineer with java for Chennai Location

Location : Chennai

Exp : 11 to 15 Years

Job description

Required Skill:

1. Candidate should have minimum 7 years of experience as total

2. Candidate should have minimum 4 years of experience in Big Data design and development

3. Candidate should have experience in Java, Spark, Hive & Hadoop, Python

4. Candidate should have experience in any RDBMS.

Roles & Responsibility:

1. To create work plans, monitor and track the work schedule for on time delivery as per the defined quality standards.

2. To develop and guide the team members in enhancing their technical capabilities and increasing productivity.

3. To ensure process improvement and compliance in the assigned module, and participate in technical discussions or review.

4. To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalation

Regards,

Priyanka S

7P8R9I9Y4A0N8K8A7S7

We are looking for a Big Data Engineer with java for Chennai Location

Location : Chennai

Exp : 11 to 15 Years

Job description

Required Skill:

1. Candidate should have minimum 7 years of experience as total

2. Candidate should have minimum 4 years of experience in Big Data design and development

3. Candidate should have experience in Java, Spark, Hive & Hadoop, Python

4. Candidate should have experience in any RDBMS.

Roles & Responsibility:

1. To create work plans, monitor and track the work schedule for on time delivery as per the defined quality standards.

2. To develop and guide the team members in enhancing their technical capabilities and increasing productivity.

3. To ensure process improvement and compliance in the assigned module, and participate in technical discussions or review.

4. To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalation

Regards,

Priyanka S

7P8R9I9Y4A0N8K8A7S7

SQL Developer - Night Shift

at Think n Solutions

2 recruiters

Posted by TnS HR

Remote only

1.5 - 6 yrs

Best in industry

Microservices

RESTful APIs

Microsoft SQL Server

SQL Server Integration Services (SSIS)

SQL Server Reporting Services (SSRS)

+10 more

*Apply only if you are serving Notice Period

HIRING SQL Developers with max 20 days Of NOTICE PERIOD

Job ID: TNS2023DB01

Who Should apply?

Only for Serious job seekers who are ready to work in night shift
Technically Strong Candidates who are willing to take up challenging roles and want to raise their Career graph
No DBAs & BI Developers, please

Why Think n Solutions Software?

Exposure to the latest technology
Opportunity to work on different platforms
Rapid Career Growth
Friendly Knowledge-Sharing Environment

Criteria:

BE/MTech/MCA/MSc
2yrs Hands Experience in MS SQL / NOSQL
Immediate joiners preferred/ Maximum notice period between 15 to 20 days
Candidates will be selected based on logical/technical and scenario-based testing
Work time - 10:00 pm to 6:00 am

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

Job Description:

Technical Skills Desired:
1. Experience in MS SQL Server, and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / any of NoSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
2. Design database tables, views, indexes
3. Write functions and procedures for Middle Tier Development Team
4. Work with any front-end developers in completing the database modules end to end (hands-on experience in the parsing of JSON & XML in Stored Procedures would be an added advantage).
5. Query Optimization for performance improvement
6. Design & develop SSIS Packages or any other Transformation tools for ETL

Functional Skills Desired:
1. The banking / Insurance / Retail domain would be a
2. Interaction with a client a

3. Good to Have Skills:

Knowledge in a Cloud Platform (AWS / Azure)
Knowledge on version control system (SVN / Git)
Exposure to Quality and Process Management
Knowledge in Agile Methodology

Soft skills: (additional)
1. Team building (attitude to train, work along, and mentor juniors)
2. Communication skills (all kinds)
3. Quality consciousness
4. Analytical acumen to all business requirements
5. Think out-of-box for business solution

*Apply only if you are serving Notice Period

HIRING SQL Developers with max 20 days Of NOTICE PERIOD

Job ID: TNS2023DB01

Who Should apply?

Only for Serious job seekers who are ready to work in night shift
Technically Strong Candidates who are willing to take up challenging roles and want to raise their Career graph
No DBAs & BI Developers, please

Why Think n Solutions Software?

Exposure to the latest technology
Opportunity to work on different platforms
Rapid Career Growth
Friendly Knowledge-Sharing Environment

Criteria:

BE/MTech/MCA/MSc
2yrs Hands Experience in MS SQL / NOSQL
Immediate joiners preferred/ Maximum notice period between 15 to 20 days
Candidates will be selected based on logical/technical and scenario-based testing
Work time - 10:00 pm to 6:00 am

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

Job Description:

Technical Skills Desired:
1. Experience in MS SQL Server, and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / any of NoSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
2. Design database tables, views, indexes
3. Write functions and procedures for Middle Tier Development Team
4. Work with any front-end developers in completing the database modules end to end (hands-on experience in the parsing of JSON & XML in Stored Procedures would be an added advantage).
5. Query Optimization for performance improvement
6. Design & develop SSIS Packages or any other Transformation tools for ETL

Functional Skills Desired:
1. The banking / Insurance / Retail domain would be a
2. Interaction with a client a

3. Good to Have Skills:

Knowledge in a Cloud Platform (AWS / Azure)
Knowledge on version control system (SVN / Git)
Exposure to Quality and Process Management
Knowledge in Agile Methodology

Soft skills: (additional)
1. Team building (attitude to train, work along, and mentor juniors)
2. Communication skills (all kinds)
3. Quality consciousness
4. Analytical acumen to all business requirements
5. Think out-of-box for business solution

Backend Engineer

at OLA

Agency job

via zyoin by Shelly Biswas

Remote, Bengaluru (Bangalore)

8 - 12 yrs

₹30L - ₹50L / yr

Big Data

Python

Java

Spring

Distributed Systems

+1 more

13+ years of relevant experience with at least 6+ years hands-on coding in the big
data domain.
● Should have experience in architecting data ecosystem for streaming data and
analytical platforms.
● Expert level experience in building fault-tolerant & scalable big-data platforms and
big-data solutions primarily based on the Hadoop ecosystem.
● Expert level experience with Java, Python or Scala programming.
● Expert level experience designing high throughput data services.
● Familiarity with machine learning and AI.
● Experience with Big-Data Technologies (Hive, HBase, Spark, Kafka, Storm,
MapReduce, HDFS, Zookeeper, Scylla, Cassandra, Yarn), understands the
concepts and technology ecosystem around both real-time and batch processing in
Hadoop.
● Strong spoken and written communication skills.
● B.E/B.Tech/MS in Computer Science (or equivalent).
● Effective listening skills and strong collaboration

Scala Developer

at Astegic

3 recruiters

Posted by Nikita Pasricha

Remote only

5 - 7 yrs

₹8L - ₹15L / yr

Data engineering

SQL

Relational Database (RDBMS)

Big Data

Scala

+14 more

WHAT YOU WILL DO:

● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional business requirements.
● Identify, design, and implement internal process improvements: automating manual processes,

optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide

variety of data sources using Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,

operational efficiency and other key business performance metrics.
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with

data-related technical issues and support their data infrastructure needs.
● Keep our data separated and secure across national boundaries through multiple data centers and AWS

regions.
● Create data tools for analytics and data scientist team members that assist them in building and

optimizing our product into an innovative industry leader.
● Work with data and analytics experts to strive for greater functionality in our data systems.

REQUIRED SKILLS & QUALIFICATIONS:

● 5+ years of experience in a Data Engineer role.
● Advanced working SQL knowledge and experience working with relational databases, query authoring

(SQL) as well as working familiarity with a variety of databases.
● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
● Experience performing root cause analysis on internal and external data and processes to answer

specific business questions and identify opportunities for improvement.
● Strong analytic skills related to working with unstructured datasets.
● Build processes supporting data transformation, data structures, metadata, dependency and workload

management.
● A successful history of manipulating, processing and extracting value from large disconnected datasets.
● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
● Strong project management and organizational skills.
● Experience supporting and working with cross-functional teams in a dynamic environment
● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
● Experience with AWS cloud services: EC2, EMR, S3, Athena
● Experience with Linux
● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.

PREFERRED SKILLS & QUALIFICATIONS:

● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

WHAT YOU WILL DO:

● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional business requirements.
● Identify, design, and implement internal process improvements: automating manual processes,

optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide

variety of data sources using Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,

operational efficiency and other key business performance metrics.
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with

data-related technical issues and support their data infrastructure needs.
● Keep our data separated and secure across national boundaries through multiple data centers and AWS

regions.
● Create data tools for analytics and data scientist team members that assist them in building and

optimizing our product into an innovative industry leader.
● Work with data and analytics experts to strive for greater functionality in our data systems.

REQUIRED SKILLS & QUALIFICATIONS:

● 5+ years of experience in a Data Engineer role.
● Advanced working SQL knowledge and experience working with relational databases, query authoring

(SQL) as well as working familiarity with a variety of databases.
● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
● Experience performing root cause analysis on internal and external data and processes to answer

specific business questions and identify opportunities for improvement.
● Strong analytic skills related to working with unstructured datasets.
● Build processes supporting data transformation, data structures, metadata, dependency and workload

management.
● A successful history of manipulating, processing and extracting value from large disconnected datasets.
● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
● Strong project management and organizational skills.
● Experience supporting and working with cross-functional teams in a dynamic environment
● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
● Experience with AWS cloud services: EC2, EMR, S3, Athena
● Experience with Linux
● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.

PREFERRED SKILLS & QUALIFICATIONS:

● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Senior Big Data Developer

at HL

Agency job

via Bohiyaanam Talent Solutions by Neenu Bhat

Bengaluru (Bangalore)

6 - 15 yrs

₹1L - ₹15L / yr

Spark

Hadoop

Big Data

Data engineering

PySpark

+3 more

• 8+ years of experience in developing Big Data applications
• Strong experience working with Big Data technologies like Spark (Scala/Java),
• Apache Solr, HIVE, HBase, ElasticSearch, MongoDB, Airflow, Oozie, etc.
• Experience working with Relational databases like MySQL, SQLServer, Oracle etc.
• Good understanding of large system architecture and design
• Experience working in AWS/Azure cloud environment is a plus
• Experience using Version Control tools such as Bitbucket/GIT code repository
• Experience using tools like Maven/Jenkins, JIRA
• Experience working in an Agile software delivery environment, with exposure to
continuous integration and continuous delivery tools
• Passionate about technology and delivering solutions to solve complex business
problems
• Great collaboration and interpersonal skills
• Ability to work with team members and lead by example in code, feature
development, and knowledge sharing

Senior Data engineer

at Clairvoyant India Private Limited

5 recruiters

Posted by Taruna Roy

Remote only

4 - 9 yrs

₹10L - ₹15L / yr

Java

Apache Spark

Spark

SQL

HiveQL

+1 more

Must-Have:

5+ years of experience in software development.
At least 2 years of relevant work experience on large scale Data applications
Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
Kafka
J2EE Frameworks (Spring/Hibernate/REST)
Spark Streaming or any other streaming technology.
Java programming language is mandatory.
Good to have experience with Java
Ability to work on the sprint stories to completion along with Unit test case coverage.
Experience working in Agile Methodology
Excellent communication and coordination skills
Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
Must be able to integrate quickly into the team and work independently towards team goals

Role & Responsibilities:

Take the complete responsibility of the sprint stories’ execution
Be accountable for the delivery of the tasks in the defined timelines with good quality
Follow the processes for project execution and delivery.
Follow agile methodology
Work with the team lead closely and contribute to the smooth delivery of the project.
Understand/define the architecture and discuss the pros-cons of the same with the team
Involve in the brainstorming sessions and suggest improvements in the architecture/design.
Work with other team leads to get the architecture/design reviewed.
Work with the clients and counterparts (in US) of the project.
Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

Must-Have:

5+ years of experience in software development.
At least 2 years of relevant work experience on large scale Data applications
Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
Kafka
J2EE Frameworks (Spring/Hibernate/REST)
Spark Streaming or any other streaming technology.
Java programming language is mandatory.
Good to have experience with Java
Ability to work on the sprint stories to completion along with Unit test case coverage.
Experience working in Agile Methodology
Excellent communication and coordination skills
Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
Must be able to integrate quickly into the team and work independently towards team goals

Role & Responsibilities:

Take the complete responsibility of the sprint stories’ execution
Be accountable for the delivery of the tasks in the defined timelines with good quality
Follow the processes for project execution and delivery.
Follow agile methodology
Work with the team lead closely and contribute to the smooth delivery of the project.
Understand/define the architecture and discuss the pros-cons of the same with the team
Involve in the brainstorming sessions and suggest improvements in the architecture/design.
Work with other team leads to get the architecture/design reviewed.
Work with the clients and counterparts (in US) of the project.
Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

Senior Software Engineer (Architect), Data

at Uber

1 video

10 recruiters

Posted by Suvidha Chib

Bengaluru (Bangalore)

7 - 15 yrs

₹0L / yr

Big Data

Hadoop

kafka

Spark

Apache Hive

+9 more

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:

Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.