Senior Data engineer at Clairvoyant India Private Limited · Remote only · 4 - 9 years · ₹10L - ₹15L / yr · Profitable · Remote only · Posted 6 Jun 2022

- 5+ years of experience in software development.
- At least 2 years of relevant work experience on large scale Data applications
- Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
- Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
- Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
- Kafka
- J2EE Frameworks (Spring/Hibernate/REST)
- Spark Streaming or any other streaming technology.
- Java programming language is mandatory.
- Good to have experience with Java
- Ability to work on the sprint stories to completion along with Unit test case coverage.
- Experience working in Agile Methodology
- Excellent communication and coordination skills
- Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
- Must be able to integrate quickly into the team and work independently towards team goals
- Take the complete responsibility of the sprint stories’ execution
- Be accountable for the delivery of the tasks in the defined timelines with good quality
- Follow the processes for project execution and delivery.
- Follow agile methodology
- Work with the team lead closely and contribute to the smooth delivery of the project.
- Understand/define the architecture and discuss the pros-cons of the same with the team
- Involve in the brainstorming sessions and suggest improvements in the architecture/design.
- Work with other team leads to get the architecture/design reviewed.
- Work with the clients and counterparts (in US) of the project.
- Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

About Clairvoyant India Private Limited
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Must have experience in Java
Must have experience in Spark
Must have experience in ETL coding
Strong expertise in coding
Company Name – Wissen Technology
Group of companies in India – Wissen Technology & Wissen Infotech
Work Location – Whitefield, Bangalore
Website and Company profile:
www.wissen.com
LinkedIn Page:
https://www.linkedin.com/company/wissen-technology/
While you may already know about Wissen and the company history, here is a quick rundown for you.
About Wissen Technology:
· The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
· Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
· Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
· Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
· Globally present with offices US, India, UK, Australia, Mexico, and Canada.
· We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
· Wissen Technology has been certified as a Great Place to Work®.
· Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
· Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
· We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
About Role :
Key Responsibilities
- Build and maintain data transformation pipelines using java Spark
- Develop and optimize large-scale/CPU intensive data processing using Apache Spark
- Orchestrate workflows using Airflow
- Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
- Support schema evolution, backfills, and incremental processing
- Ensure pipelines meet SLAs for freshness, reliability, and performance
- Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)
Required Skills & Qualifications
- Strong hands-on experience with
- HBase
- Apache Spark
- Experience with HBase or similar lakehouse query engines
- Airflow
- Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
- Proficiency in Java
- Experience with Git-based development and CI/CD
Nice-to-Have Skills
- OpenTable format/Iceberg ,Apache Arrow
- CDC-based analytics pipelines
- Cloud platforms (AWS)
- Kubernetes-based data platforms
Key Responsibilities
Build and maintain data transformation pipelines using java Spark
Develop and optimize large-scale/CPU intensive data processing using Apache Spark
Orchestrate workflows using Airflow
Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
Support schema evolution, backfills, and incremental processing
Ensure pipelines meet SLAs for freshness, reliability, and performance
Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)
Required Skills & Qualifications
Strong hands-on experience with
HBase
Apache Spark
Experience with HBase or similar lakehouse query engines
Airflow
Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
Proficiency in Java
Experience with Git-based development and CI/CD
Nice-to-Have Skills
OpenTable format/Iceberg ,Apache Arrow
CDC-based analytics pipelines
Cloud platforms (AWS)
Kubernetes-based data platforms
Company Description
TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, TECHSOPHY operates with headquarters in California, USA, and regional offices in Dubai, UAE, and an offshore innovation center in Hyderabad, India.
Qualifications
- Solid Fundamentals and exceptional problem-solving skills
- Solid and fluent understanding of algorithms and data structures
- Proficiency in Scala + Spark
- Proficiency in Scala + Play framework
- Experience Range: 4 to 7 Years
Requirement:
Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:
- Excellent programming skills and knowledge of Java / Scala
- Excellent software design, problem-solving, and debugging skills
- Experience with modern Big Data technologies such as Spark, NoSQL, Cassandra, Kafka, MapReduce, and the Hadoop ecosystem is a must-have
- Experience with data analytics and the ability to mine data to obtain insights are much appreciated
Key Responsibilities
Build and maintain data transformation pipelines using java Spark
Develop and optimize large-scale/CPU intensive data processing using Apache Spark
Orchestrate workflows using Airflow
Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
Support schema evolution, backfills, and incremental processing
Ensure pipelines meet SLAs for freshness, reliability, and performance
Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)
Required Skills & Qualifications
Strong hands-on experience with Apache Spark
Experience with HBase/SQL or similar lakehouse query engines
Airflow
Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
Proficiency in Java
Experience with Git-based development and CI/CD






