-
Responsibilities
- Responsible for implementation and ongoing administration of Hadoop
infrastructure.
- Aligning with the systems engineering team to propose and deploy new
hardware and software environments required for Hadoop and to expand existing
environments.
- Working with data delivery teams to setup new Hadoop users. This job includes
setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig
and MapReduce access for the new users.
- Cluster maintenance as well as creation and removal of nodes using tools like
Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools
- Performance tuning of Hadoop clusters and Hadoop MapReduce routines
- Screen Hadoop cluster job performances and capacity planning
- Monitor Hadoop cluster connectivity and security
- Manage and review Hadoop log files.
- File system management and monitoring.
- Diligently teaming with the infrastructure, network, database, application and
business intelligence teams to guarantee high data quality and availability
- Collaboration with application teams to install operating system and Hadoop
updates, patches, version upgrades when required.
READ MORE OF THE JOB DESCRIPTION
Qualifications
Qualifications
- Bachelors Degree in Information Technology, Computer Science or other
relevant fields
- General operational expertise such as good troubleshooting skills,
understanding of systems capacity, bottlenecks, basics of memory, CPU, OS,
storage, and networks.
- Hadoop skills like HBase, Hive, Pig, Mahout
- Ability to deploy Hadoop cluster, add and remove nodes, keep track of jobs,
monitor critical parts of the cluster, configure name node high availability, schedule
and configure it and take backups.
- Good knowledge of Linux as Hadoop runs on Linux.
- Familiarity with open source configuration management and deployment tools
such as Puppet or Chef and Linux scripting.
Nice to Have
- Knowledge of Troubleshooting Core Java Applications is a plus.
About MNC
Similar jobs
About Slintel (a 6sense company) :
Slintel, a 6sense company, the leader in capturing technographics-powered buying intent, helps companies uncover the 3% of active buyers in their target market. Slintel evaluates over 100 billion data points and analyzes factors such as buyer journeys, technology adoption patterns, and other digital footprints to deliver market & sales intelligence.
Slintel's customers have access to the buying patterns and contact information of more than 17 million companies and 250 million decision makers across the world.
Slintel is a fast growing B2B SaaS company in the sales and marketing tech space. We are funded by top tier VCs, and going after a billion dollar opportunity. At Slintel, we are building a sales development automation platform that can significantly improve outcomes for sales teams, while reducing the number of hours spent on research and outreach.
We are a big data company and perform deep analysis on technology buying patterns, buyer pain points to understand where buyers are in their journey. Over 100 billion data points are analyzed every week to derive recommendations on where companies should focus their marketing and sales efforts on. Third party intent signals are then clubbed with first party data from CRMs to derive meaningful recommendations on whom to target on any given day.
6sense is headquartered in San Francisco, CA and has 8 office locations across 4 countries.
6sense, an account engagement platform, secured $200 million in a Series E funding round, bringing its total valuation to $5.2 billion 10 months after its $125 million Series D round. The investment was co-led by Blue Owl and MSD Partners, among other new and existing investors.
Linkedin (Slintel) : https://www.linkedin.com/company/slintel/">https://www.linkedin.com/company/slintel/
Industry : Software Development
Company size : 51-200 employees (189 on LinkedIn)
Headquarters : Mountain View, California
Founded : 2016
Specialties : Technographics, lead intelligence, Sales Intelligence, Company Data, and Lead Data.
Website (Slintel) : https://www.slintel.com/slintel">https://www.slintel.com/slintel
Linkedin (6sense) : https://www.linkedin.com/company/6sense/">https://www.linkedin.com/company/6sense/
Industry : Software Development
Company size : 501-1,000 employees (937 on LinkedIn)
Headquarters : San Francisco, California
Founded : 2013
Specialties : Predictive intelligence, Predictive marketing, B2B marketing, and Predictive sales
Website (6sense) : https://6sense.com/">https://6sense.com/
Acquisition News :
https://inc42.com/buzz/us-based-based-6sense-acquires-b2b-buyer-intelligence-startup-slintel/
Funding Details & News :
Slintel funding : https://www.crunchbase.com/organization/slintel">https://www.crunchbase.com/organization/slintel
6sense funding : https://www.crunchbase.com/organization/6sense">https://www.crunchbase.com/organization/6sense
https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round">https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round
https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round">https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round
https://xipometer.com/en/company/6sense">https://xipometer.com/en/company/6sense
Slintel & 6sense Customers :
https://www.featuredcustomers.com/vendor/slintel/customers
https://www.featuredcustomers.com/vendor/6sense/customers">https://www.featuredcustomers.com/vendor/6sense/customers
About the job
Responsibilities
- Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse
- Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs
- Assemble large, complex data sets from third-party vendors to meet business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimising 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 SQL, Elastic search, MongoDB, and AWS technology
- Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems
Requirements
- 3+ years of experience in a Data Engineer role
- Proficiency in Linux
- Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena
- Must have experience with Python/ Scala
- Must have experience with Big Data technologies like Apache Spark
- Must have experience with Apache Airflow
- Experience with data pipeline and ETL tools like AWS Glue
- Experience working with AWS cloud services: EC2 S3 RDS, Redshift and other Data solutions eg. Databricks, Snowflake
Desired Skills and Experience
Python, SQL, Scala, Spark, ETL
Lead Data Engineer
Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.
Job responsibilities
· You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems
· You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges
· You will collaborate with Data Scientists in order to design scalable implementations of their models
· You will pair to write clean and iterative code based on TDD
· Leverage various continuous delivery practices to deploy, support and operate data pipelines
· Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
· Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
· Create data models and speak to the tradeoffs of different modeling approaches
· On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product
· Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
· Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
Job qualifications Technical skills
· You are equally happy coding and leading a team to implement a solution
· You have a track record of innovation and expertise in Data Engineering
· You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations
· You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
· You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
· Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
· You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
· You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
· Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems
Professional skills
· Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers
· You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
· An interest in coaching others, sharing your experience and knowledge with teammates
· You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- At least 4 to 7 years of relevant experience as Big Data Engineer
- Hands-on experience in Scala or Python
- Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
- Strong programming experience in building applications/platform using Scala or Python.
- Experienced in implementing Spark RDD Transformations, actions to implement business analysis
We are specialized in productizing solutions of new technology.
Our vision is to build engineers with entrepreneurial and leadership mindsets who can create highly impactful products and solutions using technology to deliver immense value to our clients.
We strive to develop innovation and passion into everything we do, whether it is services or products, or solutions.
Experience : 3 to 7 Years
Number of Positions : 20
Job Location : Hyderabad
Notice : 30 Days
1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
2. Experience in developing lambda functions with AWS Lambda
3. Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
4. Should be able to code in Python and Scala.
5. Snowflake experience will be a plus
Hadoop and Hive requirements as good to have or understanding of is enough.
Number Theory is looking for experienced software/data engineer who would be focused on owning and rearchitecting dynamic pricing engineering systems
Job Responsibilities:
Evaluate and recommend Big Data technology stack best suited for NT AI at scale Platform
and other products
Lead the team for defining proper Big Data Architecture Design.
Design and implement features on NT AI at scale platform using Spark and other Hadoop
Stack components.
Drive significant technology initiatives end to end and across multiple layers of architecture
Provides strong technical leadership in adopting and contributing to open source technologies related to Big Data across multiple engagements
Designing /architecting complex, highly available, distributed, failsafe compute systems dealing with considerable scalable amount of data
Identify and work upon incorporating Non-functional requirements into the solution (Performance, scalability, monitoring etc.)
Requirements:
A successful candidate with 8+ years of experience in the role of implementation of a highend software product.
Provides technical leadership in Big Data space (Spark and Hadoop Stack like Map/Reduc,
HDFS, Hive, HBase, Flume, Sqoop etc. NoSQL stores like Cassandra, HBase etc) across
Engagements and contributes to open-source Big Data technologies.
Rich hands on in Spark and worked on Spark at a larger scale.
Visualize and evangelize next generation infrastructure in Big Data space (Batch, Near
Real-time, Realtime technologies).
Passionate for continuous learning, experimenting, applying and contributing towards
cutting edge open-source technologies and software paradigms
Expert-level proficiency in Java and Scala.
Strong understanding and experience in distributed computing frameworks, particularly
Apache Hadoop2.0 (YARN; MR & HDFS) and associated technologies one or more of Hive,
Sqoop, Avro, Flume, Oozie, Zookeeper, etc.Hands-on experience with Apache Spark and its
components (Streaming, SQL, MLLib)
Operating knowledge of cloud computing platforms (AWS,Azure) –
Good to have:
Operating knowledge of different enterprise hadoop distribution (C) –
Good Knowledge of Design Patterns
Experience working within a Linux computing environment, and use of command line tools
including knowledge of shell/Python scripting for automating common tasks.
Must Have Skills:
• Drive the data engineering implementation
• Strong experience in building data pipelines
• AWS stack experience is must
• Deliver Conceptual, Logical and Physical data models for the implementation
teams.
• SQL stronghold is must. Advanced SQL working knowledge and experience
working with a variety of relational databases, SQL query authoring
• AWS Cloud data pipeline experience is must. Data pipelines and data centric
applications using distributed storage platforms like S3 and distributed processing
platforms like Spark, Airflow, Kafka
• Working knowledge of AWS technologies such as S3, EC2, EMR, RDS, Lambda,
Elasticsearch
• Ability to use a major programming (e.g. Python /Java) to process data for
modelling.
- 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases such as Cassandra.
- Experience with AWS cloud services: EC2, EMR, Athena
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
- Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Conviva is the leader in streaming media intelligence, powered by its real-time platform. More than 250 industry leaders and brands – including CBS, CCTV, Cirque Du Soleil, DAZN, Disney+, HBO, Hulu, Sky, Sling TV, TED, Univision, and Warner Media – rely on Conviva to maximize their consumer engagement, deliver the quality experiences viewers expect and drive revenue growth. With a global footprint of more than 500 million unique viewers watching 150 billion streams per year across 3 billion applications streaming on devices, Conviva offers streaming providers unmatched scale for continuous video measurement, intelligence and benchmarking across every stream, every screen, every second. Conviva is privately held and headquartered in Silicon Valley, California, with offices around the world. For more information, please visit us at www.conviva.com.
What you get to do:
Be a thought leader. As one of the senior most technical minds in the India centre, influence our technical evolution journey by pushing the boundaries of possibilities by testing forwarding looking ideas and demonstrating its value.
Be a technical leader: Demonstrate pragmatic skills of translating requirements into technical design.
Be an influencer. Understand challenges and collaborate across executives and stakeholders in a geographically distributed environment to influence them.
Be a technical mentor. Build respect within team. Mentor senior engineers technically and
contribute to the growth of talent in the India centre.
Be a customer advocate. Be empathetic to customer and domain by resolving ambiguity efficiently with the customer in mind.
Be a transformation agent. Passionately champion engineering best practices and sharing across teams.
Be hands-on. Participate regularly in code and design reviews, drive technical prototypes and actively contribute to resolving difficult production issues.
What you bring to the role:
Thrive in a start-up environment and has a platform mindset.
Excellent communicator. Demonstrated ability to succinctly communicate and describe complexvtechnical designs and technology choices both to executives and developers.
Expert in Scala coding. JVM based stack is a bonus.
Expert in big data technologies like Druid, Spark, Hadoop, Flink (or Akka) & Kafka.
Passionate about one or more engineering best practices that influence design, quality of code or developer efficiency.
Familiar with building distributed applications using webservices and RESTful APIs.
Familiarity in building SaaS platforms on either in-house data centres or public cloud providers.
We are looking for BE/BTech graduates (2018/2019 pass out) who want to build their career as Data Engineer covering technologies like Hadoop, NoSQL, RDBMS, Spark, Kafka, Hive, ETL, MDM & Data Quality. You should be willing to learn, explore, experiment, develop POCs/Solutions using these technologies with guidance and support from highly experienced Industry Leaders. You should be passionate about your work and willing to go extra mile to achieve results.
We are looking for candidates who believe in commitment and in building strong relationships. We need people who are passionate about solving problems through software and are flexible.
Required Experience, Skills and Qualifications
Passionate to learn and explore new technologies
Any RDBMS experience (SQL Server/Oracle/MySQL)
Any ETL tool experience (Informatica/Talend/Kettle/SSIS)
Understanding of Big Data technologies
Good Communication Skills
Excellent Mathematical / Logical / Reasoning Skills