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Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.
Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree
Job Responsibilities:
• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team
• Have minimum 3 years of AWS Cloud experience.
• Well versed in languages such as Python, PySpark, SQL, NodeJS etc
• Has extensive experience in the real-timeSpark ecosystem and has worked on both real time and batch processing
• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.
• Experience with modern Database systems such as Redshift, Presto, Hive etc.
• Worked on building data lakes in the past on S3 or Apache Hudi
• Solid understanding of Data Warehousing Concepts
• Good to have experience on tools such as Kafka or Kinesis
• Good to have AWS Developer Associate or Solutions Architect Associate Certification
• Have experience in managing a team
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills
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Freight Commerce Solutions Pvt Ltd.
• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala
Data Scientist
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 you’ll do?
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
- Research new and innovative machine learning approaches.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
- Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.
- Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
- Work with your team on ambiguous problem areas in existing or new ML initiatives
What are we looking for?
- Ability to write a SQL query to pull the data you need.
- Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
- Experience in Tensorflow and/or R Modelling and/or PyTorch
- Ability to understand a business problem and translate, and structure it into a data science problem.
Job Category: Data Science
Job Type: Full Time
Job Location: Bangalore
2. hands on experience using python, sql, tablaue
3. Data Analyst
About Amagi & Growth
Amagi Corporation is a next-generation media technology company that provides cloud broadcast and targeted advertising solutions to broadcast TV and streaming TV platforms. Amagi enables content owners to launch, distribute and monetize live linear channels on Free-Ad-Supported TV and video services platforms. Amagi also offers 24x7 cloud managed services bringing simplicity, advanced automation, and transparency to the entire broadcast operations. Overall, Amagi supports 500+ channels on its platform for linear channel creation, distribution, and monetization with deployments in over 40 countries. Amagi has offices in New York (Corporate office), Los Angeles, and London, broadcast operations in New Delhi, and our Development & Innovation center in Bangalore. Amagi is also expanding in Singapore, Canada and other countries.
Amagi has seen phenomenal growth as a global organization over the last 3 years. Amagi has been a profitable firm for the last 2 years, and is now looking at investing in multiple new areas. Amagi has been backed by 4 investors - Emerald, Premji Invest, Nadathur and Mayfield. As of the fiscal year ending March 31, 2021, the company witnessed stellar growth in the areas of channel creation, distribution, and monetization, enabling customers to extend distribution and earn advertising dollars while saving up to 40% in cost of operations compared to traditional delivery models. Some key highlights of this include:
· Annual revenue growth of 136%
· 44% increase in customers
· 50+ Free Ad Supported Streaming TV (FAST) platform partnerships and 100+ platform partnerships globally
· 250+ channels added to its cloud platform taking the overall tally to more than 500
· Approximately 2 billion ad opportunities every month supporting OTT ad-insertion for 1000+ channels
· 60% increase in workforce in the US, UK, and India to support strong customer growth (current headcount being 360 full-time employees + Contractors)
· 5-10x growth in ad impressions among top customers
Responsibilities:
- Design and develop strong analytics system and predictive models
- Managing a team of data scientists, machine learning engineers, and big data specialists
- Identify valuable data sources and automate data collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a seasoned Data Scientist
- Good Experience in data mining processes
- Understanding of machine learning and Knowledge of operations research is a value addition
- Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
- Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
- Strong math skills (e. g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- Experience in Natural Language Processing (NLP)
- Strong competitive coding skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
- Hands-on experience in any Cloud Platform
- Microsoft Azure Experience
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
at Artivatic
The candidate,
1. Must have a very good hands-on technical experience of 3+ years with JAVA or Python
2. Working experience and good understanding of AWS Cloud; Advanced experience with IAM policy and role management
3. Infrastructure Operations: 5+ years supporting systems infrastructure operations, upgrades, deployments using Terraform, and monitoring
4. Hadoop: Experience with Hadoop (Hive, Spark, Sqoop) and / or AWS EMR
5. Knowledge on PostgreSQL/MySQL/Dynamo DB backend operations
6. DevOps: Experience with DevOps automation - Orchestration/Configuration Management and CI/CD tools (Jenkins)
7. Version Control: Working experience with one or more version control platforms like GitHub or GitLab
8. Knowledge on AWS Quick sight reporting
9. Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, AWS CloudTrail, Datadog and Elastic Search
10. Networking: Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB) and high availability architecture
11. Security: Experience implementing role-based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment. Familiar with penetration testing and scan tools for remediation of security vulnerabilities.
12. Demonstrated successful experience learning new technologies quickly
WHAT WILL BE THE ROLES AND RESPONSIBILITIES?
1. Create procedures/run books for operational and security aspects of AWS platform
2. Improve AWS infrastructure by developing and enhancing automation methods
3. Provide advanced business and engineering support services to end users
4. Lead other admins and platform engineers through design and implementation decisions to achieve balance between strategic design and tactical needs
5. Research and deploy new tools and frameworks to build a sustainable big data platform
6. Assist with creating programs for training and onboarding for new end users
7. Lead Agile/Kanban workflows and team process work
8. Troubleshoot issues to resolve problems
9. Provide status updates to Operations product owner and stakeholders
10. Track all details in the issue tracking system (JIRA)
11. Provide issue review and triage problems for new service/support requests
12. Use DevOps automation tools, including Jenkins build jobs
13. Fulfil any ad-hoc data or report request queries from different functional groups
- Expecting a minimum of 2-4 years of relevant experience
- You will be managing a team of 3 currently
- Take up the ownership of developing and managing one of the largest and richest food (recipe, menu, and CPG) databases
- Interactions with cross-functional teams (Business, Food Science, Product, and Tech) on a regular basis to pan the future of client and internal food data management
- Should have a natural flair for playing with numbers and data and have a keen eye for detail and quality
- Will spearhead the Ops team in achieving the targets while maintaining a staunch attentiveness to Coverage, Completeness, and Quality of the data
- Shall program and manage projects while identifying opportunities to optimize costs and processes.
- Good business acumen, in creating logic & process flows, quick and smart decision-making skills are expected
- Will also be responsible for the recruitment, induction and training new members as well
- Setting competitive team targets. Guide and support the team members to go the extra mile and achieve set targets
Added Advantages :
- Experience in a Food Sector / Insights company
- Has a passion for exploring different cuisines
- Understands industry-related jargons and has a natural flair towards learning more about anything related to food