11+ KDB Jobs in Bangalore (Bengaluru) | KDB Job openings in Bangalore (Bengaluru)
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Job Description
The applicant must have a minimum of 5 years of hands-on IT experience, working on a full software lifecycle in Agile mode.
Good to have experience in data modeling and/or systems architecture.
Responsibilities will include technical analysis, design, development and perform enhancements.
You will participate in all/most of the following activities:
- Working with business analysts and other project leads to understand requirements.
- Modeling and implementing database schemas in DB2 UDB or other relational databases.
- Designing, developing, maintaining and Data processing using Python, DB2, Greenplum, Autosys and other technologies
Skills /Expertise Required :
Work experience in developing large volume database (DB2/Greenplum/Oracle/Sybase).
Good experience in writing stored procedures, integration of database processing, tuning and optimizing database queries.
Strong knowledge of table partitions, high-performance loading and data processing.
Good to have hands-on experience working with Perl or Python.
Hands on development using Spark / KDB / Greenplum platform will be a strong plus.
Designing, developing, maintaining and supporting Data Extract, Transform and Load (ETL) software using Informatica, Shell Scripts, DB2 UDB and Autosys.
Coming up with system architecture/re-design proposals for greater efficiency and ease of maintenance and developing software to turn proposals into implementations.
Need to work with business analysts and other project leads to understand requirements.
Strong collaboration and communication skills
Python
Jenkins-
Fix issues with plugins for our Python-based ETL pipelines
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Help with automation of standard workflow
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Deliver Python microservices for provisioning and managing cloud infrastructure
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Responsible for any refactoring of code
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Effectively manage challenges associated with handling large volumes of data working to tight deadlines
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Manage expectations with internal stakeholders and context-switch in a fast-paced environment
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Thrive in an environment that uses AWS and Elasticsearch extensively
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Keep abreast of technology and contribute to the engineering strategy
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Champion best development practices and provide mentorship to others
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First and foremost you are a Python developer, experienced with the Python Data stack
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You love and care about data
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Your code is an artistic manifest reflecting how elegant you are in what you do
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You feel sparks of joy when a new abstraction or pattern arises from your code
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You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
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You are a continuous learner
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You have a natural willingness to automate tasks
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You have critical thinking and an eye for detail
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Excellent ability and experience of working to tight deadlines
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Sharp analytical and problem-solving skills
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Strong sense of ownership and accountability for your work and delivery
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Excellent written and oral communication skills
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Mature collaboration and mentoring abilities
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We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
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Delivering complex software, ideally in a FinTech setting
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Experience with CI/CD tools such as Jenkins, CircleCI
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Experience with code versioning (git / mercurial / subversion)
Data Engineering : Senior Engineer / Manager
As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.
Must Have skills :
1. GCP
2. Spark streaming : Live data streaming experience is desired.
3. Any 1 coding language: Java/Pyhton /Scala
Skills & Experience :
- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies
- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.
- Strong experience in at least of the programming language Java, Scala, Python. Java preferable
- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.
- Well-versed and working knowledge with data platform related services on GCP
- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position
Your Impact :
- Data Ingestion, Integration and Transformation
- Data Storage and Computation Frameworks, Performance Optimizations
- Analytics & Visualizations
- Infrastructure & Cloud Computing
- Data Management Platforms
- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time
- Build functionality for data analytics, search and aggregation
Data Science
Machine Learning (ML)PythonWe are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:
Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
Python- Cloud: GCP
- Must have: BigQuery, Python, Vertex AI
- Nice to have Services: Data Plex
- Exp level: 5-10 years.
- Preferred Industry (nice to have): Manufacturing – B2B sales
JavaPythonJob Description
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Design, development and deployment of highly-available and fault-tolerant enterprise business software at scale.
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Demonstrate tech expertise to go very deep or broad in solving classes of problems or creating broadly leverage-able solutions.
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Execute large-scale projects - Provide technical leadership in architecting and building product solutions.
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Collaborate across teams to deliver a result, from hardworking team members within your group, through smart technologists across lines of business.
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Be a role model on acting with good judgment and responsibility, helping teams to commit and move forward.
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Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way.
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Raise the bar by improving standard methodologies, producing best-in-class efficient solutions, code, documentation, testing, and monitoring.
Qualifications
• 15+ years of relevant engineering experience.
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Proven record of building and productionizing highly reliable products at scale.
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Experience with Java and Python
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Experience with the Big Data technologie is a plus.
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Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision
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Can collaborate well with several other engineering orgs to articulate requirements and system design
Additional Information
Professional Attributes:
• Team player!
• Great interpersonal skills, deep technical ability, and a portfolio of successful execution.
• Excellent written and verbal communication skills, including the ability to write detailed technical documents.
• Passionate about helping teams grow by inspiring and mentoring engineers.
Data Science
MongoDBJavaSenior 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
Data Science
Data AnalyticsMachine Learning (ML)Python- Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
- Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
- Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
- Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
- Work alongside customers to leverage cutting-edge technology (machine learning, streaming analytics, and ‘real’ big data) to creatively solve problems and disrupt existing business models.
In this role, we are looking for:
- A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
- The unique person who can present complex mathematical solutions in a simple manner that most will understand, including customers.
- An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
- A team mentality, empowered by the ability to work with a diverse set of individuals.
Basic Qualifications
- A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
- 5+ Years professional experience in a data scientist/analyst role or similar.
- Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.
Preferred Qualifications
- Excellent communication, organizational transformation, and leadership skills
- Demonstrated excellence in Data Science, Business Analytics and Engineering
R ProgrammingData AnalyticsThe person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.
At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.
Candidates will be expected to lead projects across several areas such as
- Demand forecasting
- Inventory management
- Simulation & Mathematical optimization models.
- Procurement analytics
- Distribution/Logistics planning
- Network planning and optimization
Qualification and Experience
- 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
- Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
- Hands-on experience in delivery of projects using statistical modelling
Skills / Knowledge
- Hands on experience in statistical modelling software such as R/ Python and SQL.
- Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
- Highly proficient with Excel, PowerPoint and Word applications.
- APICS-CSCP or PMP certification will be added advantage
- Strong knowledge of supply chain management
- Working knowledge on the linear/nonlinear optimization
- Ability to structure problems through a data driven decision-making process.
- Excellent project management skills, including time and risk management and project structuring.
- Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
- Ability to liaison effectively with multiple stakeholders and functional disciplines.
- Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
Python
Amazon Web Services (AWS)Intro
Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.
What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.
• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.
- Create and maintain optimal data pipeline architecture and ETL processes
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Develop data pipeline and infrastructure to support real-time decisions
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies.
- 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 to assist with data-related technical issues and support their data infrastructure needs.
What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale
- Proficiency in writing and debugging complex SQLs
- Experience working with AWS big data tools
• Ability to lead the project and implement best data practises and technology
Data Pipelining
- Strong command in building & optimizing data pipelines, architectures and data sets
- Strong command on relational SQL & noSQL databases including Postgres
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Big Data: Strong experience in big data tools & applications
- Tools: Hadoop, Spark, HDFS etc
- AWS cloud services: EC2, EMR, RDS, Redshift
- Stream-processing systems: Storm, Spark-Streaming, Flink etc.
- Message queuing: RabbitMQ, Spark etc
Software Development & Debugging
- Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
- Strong hold on data structures & algorithms
What would be a bonus
- Prior experience working in a fast-growth Startup
- Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data
Machine Learning (ML)Python
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