11+ Apache Beam Jobs in Chennai | Apache Beam Job openings in Chennai
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Java
PythonData Engineer- Senior
Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.
What are you going to do?
Design & Develop high performance and scalable solutions that meet the needs of our customers.
Closely work with the Product Management, Architects and cross functional teams.
Build and deploy large-scale systems in Java/Python.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.
Follow best practices that can be adopted in Bigdata stack.
Use your engineering experience and technical skills to drive the features and mentor the engineers.
What are we looking for ( Competencies) :
Bachelor’s degree in computer science, computer engineering, or related technical discipline.
Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.
Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.
Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.
Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.
Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.
Ability to work with distributed teams in a collaborative and productive manner.
Benefits:
Competitive Salary Packages and benefits.
Collaborative, lively and an upbeat work environment with young professionals.
Job Category: Development
Job Type: Full Time
Job Location: Bangalore
Python5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.
2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.
Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.
Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.
Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.
Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.
Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.
Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.
Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.
Experience or exposure to design and development using Full Stack tools.
Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.
Bachelor's or master's degree in computer science or related field.
PythonAWS Glue Developer
Work Experience: 6 to 8 Years
Work Location: Noida, Bangalore, Chennai & Hyderabad
Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops,
Job Reference ID:BT/F21/IND
Job Description:
Design, build and configure applications to meet business process and application requirements.
Responsibilities:
7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.
Technical Experience:
Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.
➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.
➢ Create data pipeline architecture by designing and implementing data ingestion solutions.
➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.
➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.
➢ Author ETL processes using Python, Pyspark.
➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.
➢ ETL process monitoring using CloudWatch events.
➢ You will be working in collaboration with other teams. Good communication must.
➢ Must have experience in using AWS services API, AWS CLI and SDK
Professional Attributes:
➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.
➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.
➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.
Qualification:
➢ Degree in Computer Science, Computer Engineering or equivalent.
Salary: Commensurate with experience and demonstrated competence
PythonResponsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
- Experience leading development efforts through all phases of SDLC.
- 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Preferred candidates with less than 30 days notice period.
PythonRole : Senior Customer Scientist
Experience : 6-8 Years
Location : Chennai (Hybrid)
Who are we?
A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US.
Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start.
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all.
Can you say “Yes, I have!” to the below?
- Experience with exploratory analysis, statistical analysis, and model development
- Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations
- Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management.
- Strong experience in SQL/ Python/R working efficiently at scale with large data sets
- Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications
Can you say “Yes, I will!” to the below?
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions.
- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production.
- Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends
- Coordinate individual teams to fulfil client requirements and manage deliverable
- Communicate and present complex concepts to business audiences
- Travel to client locations when necessary
Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.
More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/
More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/
Data Science
Machine Learning (ML)PythonJob Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
JavaWe are looking for passionate, talented and super-smart engineers to join our product development team. If you are someone who innovates, loves solving hard problems, and enjoys end-to-end product development, then this job is for you! You will be working with some of the best developers in the industry in a self-organising, agile environment where talent is valued over job title or years of experience.
Responsibilities:
- You will be involved in end-to-end development of VIMANA technology, adhering to our development practices and expected quality standards.
- You will be part of a highly collaborative Agile team which passionately follows SAFe Agile practices, including pair-programming, PR reviews, TDD, and Continuous Integration/Delivery (CI/CD).
- You will be working with cutting-edge technologies and tools for stream processing using Java, NodeJS and Python, using frameworks like Spring, RxJS etc.
- You will be leveraging big data technologies like Kafka, Elasticsearch and Spark, processing more than 10 Billion events per day to build a maintainable system at scale.
- You will be building Domain Driven APIs as part of a micro-service architecture.
- You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance.
- You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms.
Requirements:
- Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
- 2 to 5 years of product development experience.
- Experience building applications using Java, NodeJS, or Python.
- Deep knowledge in Object-Oriented Design Principles, Data Structures, Dependency Management, and Algorithms.
- Working knowledge of message queuing, stream processing, and highly scalable Big Data technologies.
- Experience in working with Agile software methodologies (XP, Scrum, Kanban), TDD and Continuous Integration (CI/CD).
- Experience using no-SQL databases like MongoDB or Elasticsearch.
- Prior experience with container orchestrators like Kubernetes is a plus.
We build products and platforms for the Industrial Internet of Things. Our technology is being used around the world in mission-critical applications - from improving the performance of manufacturing plants, to making electric vehicles safer and more efficient, to making industrial equipment smarter.
Please visit https://govimana.com/ to learn more about what we do.
Why Explore a Career at VIMANA
- We recognize that our dedicated team members make us successful and we offer competitive salaries.
- We are a workplace that values work-life balance, provides flexible working hours, and full time remote work options.
- You will be part of a team that is highly motivated to learn and work on cutting edge technologies, tools, and development practices.
- Bon Appetit! Enjoy catered breakfasts, lunches and free snacks!
VIMANA Interview Process
We usually target to complete all the interviews in a week's time and would provide prompt feedback to the candidate. As of now, all the interviews are conducted online due to covid situation.
1.Telephonic screening (30 Min )
A 30 minute telephonic interview to understand and evaluate the candidate's fit with the job role and the company.
Clarify any queries regarding the job/company.
Give an overview about further interview rounds
2. Technical Rounds
This would be deep technical round to evaluate the candidate's technical capability pertaining to the job role.
3. HR Round
Candidate's team and cultural fit will be evaluated during this round
We would proceed with releasing the offer if the candidate clears all the above rounds.
Note: In certain cases, we might schedule additional rounds if needed before releasing the offer.
Data ScienceMachine Learning (ML)Python
R ProgrammingTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
Data ScienceMachine Learning (ML)R ProgrammingPythonKey Responsibilities:
- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Skills:
- 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
- Experience in risk and credit scoring domains preferred
Python
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