Data Engineer - Java/Scala/Spark

About Quadratyx:

We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.

We firmly believe in Excellence Everywhere.

Job Description

Purpose of the Job/ Role:

• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.

Key Requisites:

• Expertise in Data structures and algorithms.

• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.

• Scaling of cloud-based infrastructure.

• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.

• Led and mentored a team of data engineers.

• Hands-on experience in test-driven development (TDD).

• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.

• Good knowledge of Kafka and Spark Streaming internal architecture.

• Good knowledge of any Application Servers.

• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.

• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc. 

Skills/ Competencies Required

Technical Skills

• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.

• Clear end-to-end experience in designing, programming, and implementing large software systems.

• Passion and analytical abilities to solve complex problems Soft Skills.

• Always speaking your mind freely.

• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.

• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.

Academic Qualifications & Experience Required

Required Educational Qualification & Relevant Experience

• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.

• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Key Responsibilities

•   The Kafka Engineer is responsible for Designing and recommending the best  approach suited    for data movement to/from different sources using Apache/Confluent Kafka.
•   Create topics, set up redundancy cluster, deploy monitoring tools, and alerts, and has good          knowledge of best practices.
•   Develop and ensure adherence to published system architectural decisions and development       standards
•   Must be comfortable working with offshore/global teams to deliver projects

Required Skills

•  Good understanding of Event-based architecture, messaging frameworks and stream processing solutions using Kafka Messaging framework.
•  3+ years hands-on experience working on Kafka connect using schema registry in a high-volume environment.
•  Strong knowledge and exposure to Kafka brokers, zookeepers, KSQL, KStream and Kafka Control centre.
•  Good experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connectors, JMS source connectors, Tasks, Workers, converters, and Transforms.
•  Hands on experience with developing APIs and Microservices
•  Solid expertise with Java
•  Working knowledge on Kafka Rest proxy and experience on custom connectors using the Kafka core concepts and API.

Good to have: 

•  Understanding of Data warehouse architecture and data modelling
•  Good knowledge of big data ecosystem to design and develop capabilities to deliver solutions using CI/CD pipelines.
•  Good understanding of other AWS services such as CloudWatch monitoring, scheduling, and automation services
•  Strong skills in In-memory applications, Database Design, and Data Integration
•  Ability to guide and mentor team members on using Kafka.

Experience: 3 to 8 Years 

Work timings: 2.30PM - 11.30PM
location - hyderabad

Client  An IT Services Major, hiring for a leading insurance player.

Position: SENIOR CONSULTANT

Job Description:

• Azure admin- senior consultant with HD Insights(Big data)

Skills and Experience

• Microsoft Azure Administrator certification
• Bigdata project experience in Azure HDInsight Stack. big data processing frameworks such as Spark, Hadoop, Hive, Kafka or Hbase.
• Preferred: Insurance or BFSI domain experience
• 5 to 5 years of experience is required.

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.

JD for IOT DE:

The role requires experience in Azure core technologies – IoT Hub/ Event Hub, Stream Analytics, IoT Central, Azure Data Lake Storage, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight / Databricks, SQL data warehouse.

You Have:

• Minimum 2 years of software development experience
• Minimum 2 years of experience in IoT/streaming data pipelines solution development
• Bachelor's and/or Master’s degree in computer science
• Strong Consulting skills in data management including data governance, data quality, security, data integration, processing, and provisioning
• Delivered data management projects with real-time/near real-time data insights delivery on Azure Cloud
• Translated complex analytical requirements into the technical design including data models, ETLs, and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
• Successfully delivered large scale IOT data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Experience in handling telemetry data with Spark Streaming, Kafka, Flink, Scala, Pyspark, Spark SQL.
• Hands-on experience on containers and Dockers
• Exposure to streaming protocols like MQTT and AMQP
• Knowledge of OT network protocols like OPC UA, CAN Bus, and similar protocols
• Strong knowledge of continuous integration, static code analysis, and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations
   

Roles & Responsibilities
 

You Will:

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfill the technical design
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapse, or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting the right platform services and architecting the solution in a cost-effective manner
• Deploy Azure DevOps and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts