Data Engineer

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

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

You will:

• Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
• Design and develop Big Data pipelines handling huge geospatial data.
• Bring clarity to large complex technical challenges.
• Collaborate with Engineering leadership to help drive technical strategy.
• Project scoping, planning and estimation.
• Mentor and coach team members at different levels of experience.
• Participate in peer code reviews and technical meetings.
• Cultivate a culture of engineering excellence.
• Seek, implement and adhere to standards, frameworks and best practices in the industry.
• Participate in on-call rotation.

You have:

• Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
• 5+ years of experience in software design, architecture and development.
• 5+ years of experience using object-oriented languages (Java, Python).
• Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
• Strong experience in working with different AWS technologies.
• Excellent competencies in data structures & algorithms.

Nice to have:

• Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
• Experience in developing high throughput low latency backend services
• Affinity to spatial data structures and algorithms.
• Familiarity with Postgres DB, Google Places or Mapbox APIs

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

What we are looking for:

●       3+ years’ experience developing Big Data & Analytic solutions

●       Experience building data lake solutions leveraging Google Data Products (e.g. Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.), Hive, Spark

●       Experience with relational SQL/No SQL

●       Experience with Spark (Scala/Python/Java) and Kafka

●       Work experience with using Databricks (Data Engineering and Delta Lake components)

●       Experience with source control tools such as GitHub and related dev process

●       Experience with workflow scheduling tools such as Airflow

●       In-depth knowledge of any scalable cloud vendor(GCP preferred)

●       Has a passion for data solutions

●       Strong understanding of data structures and algorithms

●       Strong understanding of solution and technical design

●       Has a strong problem solving and analytical mindset

●       Experience working with Agile Teams.

●       Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

●       Able to quickly pick up new programming languages, technologies, and frameworks

●       Bachelor’s Degree in computer science

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers!

• Excellent working knowledge on Data Warehousing /Data Migration activity using an ETL tool.
• Strong Data Integration, PostgreSQL/Oracle Database skills, Shell Scripting, Python programming, and development know-how.
• Hands-on experience in working with and generating XML documents.
• Good analytical and business process understanding capability.
• Familiarized with Data Models, Source-Target Data Mapping, Transactional, and Master Data concepts.
• Well-experienced in High level/Detailed design, Performance tuning of ETL jobs.
• Very good communication skills, interpersonal skills, stakeholder management skills, self-motivated, quick learner, team player.
• Exposure to After Sales Business Domain is highly preferred.
• Experience using HP ALM, Jira for ticketing.
• Experience release management