Technical Architect, (Big Data)

Location: Bengaluru, Delhi, Gurgaon, Kolkata,Chennai,Hyderabad,Pune,Indore,Jaipur and Ahmedabad,None,None

About Us:
Srijan is a global engineering firm that builds transformative digital paths to better futures for Fortune 500 enterprises and nonprofits all over the world. Headquartered in India, Srijan operates in 9 countries, including Singapore, the Philippines, Malaysia, Hong Kong, the USA, UK, Germany, Australia, and Japan. The company has championed open-source technologies over the last two decades, bringing advanced engineering capabilities and agile practices to some of the biggest names across Media, BFSI, FMCG, Aviation, Telecom, Technology, and others.

Srijan started off with specializing in building PHP-based open-source content management systems (CMS), specifically in Drupal. Now, we build and modernize digital systems, by leveraging cloud, data, API, and platform centric technologies to help enterprises adapt to changing business models and market demands. We create feature-rich platforms for experience, engagement, collaboration, and insight- designed to be high-performing, digitally transformative, scalable, and secure.

Srijan works largely with enterprises or mid-large-sized global firms and focuses on recurring business from these accounts, thereby bringing much-needed predictability of revenue for high-growth companies. Our teams bring on board a unique mix of technical expertise and business acumen, to understand and deliver exactly what your business needs. Srijan leads in Drupal with 350+ Drupal engineers, 75+ Acquia certified Drupal developers and is amongst the 4th globally. With preferred partnerships with Acquia, advanced consulting partners with AWS, Google Apigee, and services relationship with VMWare, Srijan offers the best technology stack in the market.

Big Data Architect - 

Srijan is hiring for a strong dedicated Professional for the Big Data Architect role. An ideal candidate must have total 7+ years of experience with exposure to Big Data Technologies and good experience with Kafka. Good communication skills, exposure to handling International clients, etc. 

Role:

A Big Data Architect with pyspark (primary focus), aws and Hadoop skill sets to work on an exciting Streaming / Data Engineering team (7+ years of total experience)

• Develop both deployment architecture and scripts for automated system deployment in an On-Premise as well as Cloud (AWS)
• Bring forward ideas to experiment and work in teams to transform ideas to reality
• Architect data structures that meet the reporting timelines
• Work directly with engineering teams for design and build their development requirements
• Maintain high standards of software quality by establishing good practices and habits within the development team while delivering solutions on time and on budget.
• Facilitate the agile development process through daily scrum, sprint planning, sprint demo, and retrospective meetings.
• Participate in peer-reviews of solution designs and related code
• Analyze and resolve technical and application problems
• Proven communication skills, both written and oral
• Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions
• Create large scale deployments using newly conceptualized methodologies

 Skills:

• Proven hands-on experience with Hadoop stack (HDFS, Map Reduce, Spark).
• Core development experience in one or more of these languages: Java, Python / PySpark, Scala etc.

• Good experience in developing Producers and Consumers for Kafka as well as custom Connectors for Kafka

• Experience developing applications using (Architecture), Consumer APIs, Real-time Data pipelines/Streaming.
• Experience with developing KSQL queries and best practices of using KSQL vs KStreams will be an added advantage
• Deep understanding of different messaging paradigms (pub/sub, queuing), as well as delivery models, quality-of-service, and fault-tolerance architectures
• Expertise with Hadoop ecosystem, primarily pySpark, fi etc.
• Experience with integration of data from multiple data sources
• Experience with stream-processing systems: Storm, Spark-Streaming, etc. will be ad advantage
• Experience with relational SQL and NoSQL databases, one or more of DBs like Postgres, Cassandra, HBase, Cassandra, MongoDB etc.
• Experience with AWS cloud services like S3, EC2, EMR, RDS, Redshift will be an added advantage
• Excellent in Data structures & algorithms and good in analytical skills
• Strong communication skills
• Ability to work with and collaborate across the team
• A good "can do" attitude.