Cutshort logo
For Employers
NeoGenCode Technologies Pvt Ltd logo
Data Platform Engineer (SDE 2 / SDE 3)
Data Platform Engineer (SDE 2 / SDE 3)

Data Platform Engineer (SDE 2 / SDE 3) at NeoGenCode Technologies Pvt Ltd · Remote, Pune · 3 - 8 years · ₹14L - ₹30L / yr · Raised funding · Remote friendly · Posted 28 Jul 2026

NeoGenCode Technologies Pvt Ltd's logo

Data Platform Engineer (SDE 2 / SDE 3)

Akshay Patil's profile picture
Posted by Akshay Patil
3 - 8 yrs
₹14L - ₹30L / yr
Remote, Pune
Skills
Data Platform Engineer
skill iconJava
skill iconPython
SQL
Data engineering
ETL
ELT
Apache Airflow
Apache Spark
Apache Flink
Apache Kafka
skill iconAmazon Web Services (AWS)
Distributed Systems
API Development
skill iconDocker
skill iconKubernetes
CI/CD
Systems design

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)


Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design


Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.


Key Responsibilities :

  • Build and maintain scalable ETL/ELT and data processing pipelines.
  • Develop backend services and APIs using Java (preferred), Python, or Go.
  • Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
  • Optimize SQL queries, data models, and distributed data systems.
  • Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
  • Implement CI/CD, monitoring, logging, and performance optimization.
  • Collaborate with product and engineering teams on scalable system design and architecture.


Required Qualifications :

  • SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
  • SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
  • Strong coding skills in Java (preferred), Python, or Go.
  • Excellent SQL and data modeling knowledge.
  • Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
  • Experience building scalable backend services and APIs.
  • Good understanding of distributed systems, system design. and scalable architecture.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Hands-on experience with Docker and Kubernetes.
  • Strong understanding of CI/CD pipelines.
  • Excellent problem-solving and debugging skills.


Good to Have :

  • Experience with Snowflake, BigQuery, or Redshift.
  • Understanding of Kafka, Kinesis, or Pub/Sub
  • Performance optimization of large-scale distributed systems
  • FinTech or high-scale distributed systems experience.
  • Knowledge of data governance, security, and compliance.


Preferred Candidate Profile :

  • Strong Backend + Data Engineering experience
  • Experience building scalable production systems
  • Strong ownership mindset
  • Good system design knowledge
  • Experience processing millions of events using Kafka/Spark
  • Built APIs supporting data infrastructure
  • Production engineering experience


Interview Process :

  1. Take-home Coding Assignment (48 Hours)
  2. Leadership & Strategy Round (1 Hour)
  3. Technical Depth – Data Engineering & Performance (1 Hour)
  4. Culture & Values Fit (30 Minutes)
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort
companies logos

About NeoGenCode Technologies Pvt Ltd

Founded :
2023
Type :
Services
Size :
20-100
Stage :
Raised funding

About

Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.

Read more

Candid answers by the company

What does the company do?
What is the location preference of jobs?

IT & Engineering Talent Staffing

  • Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
  • Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
  • Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.

2. End-to-End Project Delivery

  • Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
  • Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .

3. Additional Offerings

  • Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
  • Provides strategic IT consulting to align technology solutions with business objectives

Company social profiles

bloginstagramlinkedinfacebook

Similar jobs (10)

Proximity Works
at Proximity Works
1 video
5 recruiters
Tushar Vaghela
Posted by Tushar Vaghela
Bengaluru (Bangalore)
5 - 10 yrs
Best in industry
skill iconPython
skill iconScala
Apache Spark
Apache Kafka
databricks
+1 more

Description


We are looking for Senior Data Engineers to join our Data Platform team and build scalable, high-performance data platforms that power data processing, analytics, and downstream applications.

The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Apache Spark and Python Scala.

You will be responsible for designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.



Key Responsibilities

  • Design, develop, and maintain scalable ETL and data processing pipelines for large-scale datasets.
  • Build and optimize distributed data applications using Apache Spark and Python Scala.
  • Develop reliable, high-performance data pipelines for batch and streaming workloads.
  • Design and manage data workflows using Apache Airflow.
  • Build and operate data workloads on AWS, with strong usage of Amazon S3 for large-scale data storage.
  • Work with large datasets to ensure data quality, consistency, reliability, and performance.
  • Collaborate with engineering, product, analytics, and other platform teams to deliver robust data solutions.
  • Optimize data workflows for scalability, reliability, performance, and cost efficiency.
  • Troubleshoot production issues, identify bottlenecks, and continuously improve platform performance.



Requirements

Candidates who demonstrate:

  • 5+ years of experience in Data Engineering, Big Data Engineering, or a similar role.
  • Strong hands-on experience with Apache Spark and Scala.
  • Experience designing, building, and maintaining large-scale ETL pipelines.
  • Strong hands-on experience with AWS, particularly Amazon S3.
  • Hands-on experience with Apache Airflow for workflow orchestration and scheduling.
  • Strong SQL skills and a solid understanding of distributed data processing concepts.
  • Experience working with batch and/or streaming data pipelines.
  • Excellent debugging, problem-solving, and performance optimization skills.
  • Strong communication and collaboration skills.


Good to Have

  • Experience with Databricks and the broader Databricks data platform.
  • Familiarity with streaming technologies such as Apache Kafka.
  • Experience working on large-scale data platforms handling high-volume data workloads.
  • Exposure to additional AWS data services and cloud-native data architectures.
Read more
VY SYSTEMS PRIVATE LIMITED
Hyderabad, Pune
5 - 9 yrs
₹18L - ₹20L / yr
PySpark
SQL
skill iconPython

Data Engineer Short Hiring Post


🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

Read more
VY SYSTEMS PRIVATE LIMITED
Bengaluru (Bangalore)
5 - 7 yrs
₹4L - ₹20L / yr
Data Engineer,
skill iconPython
ETL
DevOps

Job Summary

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.

Experience with Google Cloud Platform (GCP) will be an added advantage.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
  • Develop complex and optimized SQL queries, stored procedures, and data transformations.
  • Build and maintain reliable data integration workflows across multiple data sources.
  • Perform data cleansing, validation, transformation, and quality checks.
  • Analyze data and provide insights to support business and technical requirements.
  • Implement and maintain CI/CD pipelines for data engineering applications.
  • Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
  • Troubleshoot data pipeline failures, performance issues, and production incidents.
  • Optimize data processing workflows for performance, scalability, and reliability.
  • Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
  • Follow best practices for version control, testing, documentation, and deployment.
  • Contribute to cloud-based data engineering initiatives, preferably on GCP.

Required Skills

  • 5–7 years of hands-on experience in Data Engineering.
  • Strong programming skills in Python.
  • Strong expertise in Advanced SQL and database concepts.
  • Hands-on experience with ETL/ELT processes and data pipelines.
  • Good understanding of Data Warehousing and Data Modeling concepts.
  • Experience with CI/CD practices and tools.
  • Strong understanding of DevOps principles, automation, and deployment processes.
  • Strong data analytics and problem-solving skills.
  • Experience working with large datasets and performance optimization.
  • Good understanding of Git/version control and software development best practices.

Good to Have

  • Hands-on experience with Google Cloud Platform (GCP).
  • Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
  • Experience with containerization/orchestration technologies such as Docker/Kubernetes.
  • Experience with workflow orchestration tools such as Airflow.
  • Knowledge of cloud-based data architecture and distributed data processing.

Preferred Candidate Profile

  • Strong analytical and problem-solving abilities.
  • Good communication and stakeholder management skills.
  • Ability to work independently as well as in a collaborative team environment.
  • Strong ownership of data pipelines and production systems.
  • Candidates who can join at short notice are preferred.

Mandatory Skills

 Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops


Read more
VY SYSTEMS PRIVATE LIMITED
Hyderabad, Bengaluru (Bangalore)
5 - 12 yrs
₹4L - ₹22L / yr
Data engineering
skill iconPython
SQL

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT data pipelines.
  • Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
  • Develop automation scripts using Python for data processing and workflow optimization.
  • Work with Linux environments for deployment, monitoring, and troubleshooting.
  • Ensure data quality, integrity, and reliability across data platforms.
  • Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
  • Implement best practices for data security, governance, and documentation.

Required Skills

  • Strong experience in Data Engineering concepts and ETL/ELT processes.
  • Proficiency in SQL, including query optimization and database design.
  • Strong programming skills in Python.
  • Hands-on experience with Linux commands, shell scripting, and system administration basics.
  • Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
  • Familiarity with Git/version control.
  • Strong analytical and problem-solving skills.

Preferred Skills

  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
  • Experience with data warehousing solutions and big data technologies.
  • Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Relevant certifications in cloud or data engineering are an added advantage.


Read more
Wissen Technology
at Wissen Technology
4 recruiters
Chaitanya Rajadnya
Posted by Chaitanya Rajadnya
Pune
5 - 12 yrs
Best in industry
skill iconJava
Apache Spark
ETL
skill iconAmazon Web Services (AWS)

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

Read more
TalentOne HR Consulting LLP
Pune, Nagpur
7 - 12 yrs
₹10L - ₹15L / yr
ADF
skill iconPython
snow flake

Urgent Hiring – Senior Data Engineer

We are hiring for a Senior Data Engineer for a reputed product-based company in Pune.

Location: Pune – Magarpatta / Baner

Experience: 7–10 Years

Work Mode: 5 Days WFO

Notice Period: Immediate to 30 Days preferred

What We're Looking For

  • 7+ years of hands-on experience in Data Engineering
  • 5+ years of experience in Python
  • 4+ years of experience in Snowflake
  • 5+ years of experience in SQL
  • 5+ years of experience with ADF / Fivetran / Matillion or equivalent Data Integration tools
  • Hands-on experience with AWS / Azure
  • Experience with Airflow or equivalent orchestration tools
  • Strong experience in ETL/ELT and Data Pipelines
  • Experience with APIs, JSON, XML and Webhooks
  • Knowledge of CI/CD, Git and automated testing
  • Exposure to dbt or similar transformation tools
  • Experience in data pipeline monitoring, troubleshooting and performance optimization

Key Responsibilities

  • Design, develop and maintain scalable ETL/ELT data pipelines
  • Build batch, real-time and on-demand data processing workflows
  • Integrate data from cloud and on-premise sources
  • Ensure data quality, reliability, performance and SLA adherence
  • Work closely with Data Scientists, Analysts, DevOps and Business teams
  • Implement data engineering best practices, CI/CD and automated testing
  • Troubleshoot pipeline issues and perform root cause analysis
  • Optimize data pipelines and SQL queries for performance and cost efficiency

Why Join?

  • Opportunity to work with a reputed product-based organization
  • Work on modern data engineering and cloud technologies
  • Exposure to large-scale data platforms and business-critical data solutions
  • Collaborative and technically strong environment

Interested candidates can share their updated CV for immediate consideration.


Read more
Proximity Works
at Proximity Works
1 video
5 recruiters
Tushar Vaghela
Posted by Tushar Vaghela
Remote only
5 - 10 yrs
Best in industry
ETL
Google Cloud Platform (GCP)
skill iconKubernetes
skill iconScala
Apache Spark

Description

We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.

You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.


Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
  • Build and optimize distributed data applications using Spark and Scala.
  • Develop reliable, high-performance data pipelines for batch and streaming workloads.
  • Work with large datasets to ensure data quality, consistency, and performance.
  • Collaborate with engineering, product, and analytics teams to deliver robust data solutions.
  • Optimize data workflows for scalability, reliability, and cost efficiency.
  • Deploy and manage data workloads in cloud and containerized environments.
  • Troubleshoot production issues and continuously improve platform performance.


Requirements

Candidates who demonstrate:

  • 5+ years of experience in Data Engineering or Big Data Engineering.
  • Strong hands-on experience with Apache Spark and Scala.
  • Experience building and maintaining ETL pipelines.
  • Familiarity with Google Cloud Storage (GCS).
  • Experience with Kubernetes (K8s).
  • Strong SQL skills and understanding of distributed data processing.
  • Excellent debugging, problem-solving, and performance optimization skills.
  • Strong communication and collaboration skills.



Good to Have

  • Experience with AWS and cloud-native data services.
  • Familiarity with streaming technologies such as Kafka.
  • Experience working on large-scale data platforms or AdTech systems.
  • Exposure to orchestration tools such as Airflow.


Benefits

  • Best-in-class salary: We hire strong talent and compensate accordingly.
  • Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
  • Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
  • High-impact work: Build AI-first systems and products used at scale by global clients.



About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

Read more
Wissen Technology
at Wissen Technology
4 recruiters
Shakthi M
Posted by Shakthi M
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Pune
3 - 6 yrs
Best in industry
skill iconJava
Spark
ETL

Must have experience in Java

Must have experience in Spark

Must have experience in ETL coding

Strong expertise in coding

Read more
Remote, Pune
7 - 18 yrs
₹1L - ₹35L / yr (ESOP available)
microsoft fabric,dataengineering,one lake

Data Engineer – Microsoft Fabric

Location: Pune, India

Work Mode: Hybrid

Experience: 6+ Years

Employment Type: Full-time contactor

Compensation: As per market standards, commensurate with experience and expertise

Shift Timings: 2:00 PM – 11:00 PM IST

Notice Period: 0 – 15 days

About the Role

Jade Business Services (JBS) is seeking a Data Engineer – Microsoft Fabric to join our Pune team and work on enterprise-scale data transformation and analytics initiatives.

We are looking for a hands-on Data Engineer with strong experience in Microsoft Fabric, SQL, Python/PySpark and modern data engineering practices. The candidate will be responsible for building scalable data pipelines, implementing Lakehouse and Warehouse solutions, developing data models and supporting governed, reliable and AI-ready data platforms.

The ideal candidate should be comfortable working with architects, engineering teams and client stakeholders to translate business requirements into scalable and production-ready data solutions.

Roles and Responsibilities

  • Design and develop data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse and Data Factory pipelines.
  • Build and maintain scalable ETL/ELT pipelines for batch and incremental data processing.
  • Develop data ingestion and transformation pipelines using Fabric Data Factory, SQL, Python and/or PySpark.
  • Implement Medallion Architecture using Bronze, Silver and Gold layers.
  • Work with Lakehouse and Fabric Warehouse for enterprise data processing and analytics.
  • Develop and maintain data models, tables, views and optimized SQL queries.
  • Build and support semantic models for Power BI and analytical workloads.
  • Implement data quality, validation, monitoring and error-handling mechanisms.
  • Work with metadata, lineage and governance requirements using Microsoft Purview.
  • Implement data security, access controls and role-based permissions across data platforms.
  • Support Data Product and domain-oriented data architecture principles.
  • Follow DataOps practices including CI/CD, deployment, monitoring and production support.
  • Troubleshoot pipeline failures, performance issues and data quality problems.
  • Optimize data pipelines, queries and storage for performance and cost efficiency.
  • Work closely with Data Architects and business stakeholders to understand requirements and implement technical solutions.
  • Participate in technical design discussions, code reviews and architecture reviews.
  • Maintain technical documentation, data flow diagrams and pipeline documentation.
  • Support production deployments, incident resolution and SLA-driven data platform operations.
  • Identify opportunities for automation and AI-assisted improvements across data engineering processes.

Qualifications and Skills

  • 6+ years of experience in Data Engineering, Data Integration or Data Platform development.
  • Strong hands-on experience with Microsoft Fabric.
  • Experience with:
  • Microsoft Fabric Lakehouse
  • Fabric Warehouse
  • OneLake
  • Fabric Data Factory / Pipelines
  • Semantic Models
  • Strong understanding of Lakehouse and Medallion Architecture.
  • Strong SQL development and query optimization skills.
  • Hands-on experience with Python and/or PySpark.
  • Experience developing enterprise ETL/ELT and data integration pipelines.
  • Experience with batch and incremental data processing.
  • Understanding of data modelling concepts including dimensional modelling.
  • Knowledge of data quality, metadata, lineage and data governance.
  • Working knowledge of Microsoft Purview.
  • Understanding of Data Mesh and Data Product concepts.
  • Experience with CI/CD, version control, monitoring and DataOps practices.
  • Understanding of cloud security, access controls and data privacy.
  • Good troubleshooting and problem-solving skills.
  • Strong communication skills and ability to work with distributed and client-facing teams.

Preferred Skills

  • Microsoft Fabric or Azure Data certifications.
  • Experience migrating workloads from Azure Synapse, SQL Server, Databricks or other data platforms to Microsoft Fabric.
  • Experience implementing Medallion Architecture on Microsoft Fabric.
  • Experience with Power BI and semantic modelling.
  • Exposure to AI/ML, Generative AI or Agentic AI use cases on enterprise data platforms.
  • Experience working with Data Products or domain-oriented data solutions.
  • Experience in Energy & Utilities, Healthcare, Financial Services or Insurance.
  • Experience working with US or international enterprise clients.

What We Expect

The ideal candidate should be hands-on first and capable of independently building, troubleshooting and optimizing Fabric data solutions. You should be able to explain the technical decisions behind your implementation and work effectively with architects and engineering teams to deliver production-ready solutions.

 

Read more
Wissen Technology
at Wissen Technology
4 recruiters
Meghana Shinde
Posted by Meghana Shinde
Pune
2.5 - 5 yrs
Best in industry
skill iconJava
Spark
Hadoop
Apache HBase
SQL
+1 more

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
Read more
Why apply to jobs via Cutshort
people_solving_puzzle
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
people_verifying_people
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly.
ai_chip
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
Did not find a job you were looking for?
icon
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
companies logo
companies logo
companies logo
companies logo
companies logo
Get to hear about interesting companies hiring right now
Company logo
Company logo
Company logo
Company logo
Company logo
Linkedin iconFollow Cutshort
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort
companies logos