Cutshort logo
For Employers
Wissen Technology logo
Senior Data Engineer
Senior Data Engineer

Senior Data Engineer at Wissen Technology · Bengaluru (Bangalore) · 6 - 11 years · Profitable · Posted 27 May 2025

Wissen Technology's logo

Senior Data Engineer

VenkataRamanan S's profile picture
Posted by VenkataRamanan S
6 - 11 yrs
Best in industry
Bengaluru (Bangalore)
Skills
skill iconPython
databricks
Snowflake

Required Skills:

· 6+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Snowflake and Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

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 Wissen Technology

Founded :
2015
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

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.

With offices in 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.


Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.


We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).


Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.


Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.

Read more

Connect with the team

Profile picture
Lokesh Manikappa
Profile picture
Vijayalakshmi Selvaraj
Profile picture
Adishi Sood
Profile picture
Shiva Kumar J Goud

Company social profiles

bloglinkedinfacebook

Similar jobs (10)

VY SYSTEMS PRIVATE LIMITED
Bengaluru (Bangalore), Hyderabad
5 - 9 yrs
₹10L - ₹17L / yr
skill iconPython
PySpark
SQL
data engineer

role: data engineer

Python pyspark, SQL, data engineer

5+yrs

Bangalore/Hyderabad

immediate to 15days.

Read more
VY SYSTEMS PRIVATE LIMITED
Bengaluru (Bangalore), Hyderabad
5 - 10 yrs
₹18L - ₹28L / yr
skill iconPython
PySpark
SQL

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.

Read more
VY SYSTEMS PRIVATE LIMITED
Bengaluru (Bangalore), Hyderabad
5 - 9 yrs
₹9L - ₹15L / yr
skill iconPython
PySpark
SQL

1st virtual , 2nd round F2F -

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Read more
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
Building enterprise data, cloud, and AI solutions.
Building enterprise data, cloud, and AI solutions.
Agency job
via Cutshort Lightning by Nikita Sinha
Bengaluru (Bangalore)
5 - 12 yrs
Upto ₹40L / yr (Varies
)
SQL
skill iconPython
skill iconAmazon Web Services (AWS)
databricks
Snow flake schema

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.


Key Responsibilities

  • Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
  • Design and optimize data models for AI and machine learning workloads.
  • Develop reliable data foundations for MLOps, governance, and data lineage.
  • Integrate data from multiple sources into modern data platforms.
  • Leverage Snowpark ML and Snowflake's native AI capabilities.
  • Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

  • 5+ years of hands-on experience with Snowflake.
  • Strong proficiency in SQL and Python.
  • Experience with AWS, Azure, or GCP.
  • Knowledge of cloud storage services such as S3, ADLS, or GCS.
  • Strong understanding of Dimensional Modeling and Data Vault.
  • Experience with Scala or Java is a plus.

Tech Stack

  • Data Warehouse: Snowflake
  • Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
  • Cloud: AWS, Azure, GCP
  • Storage: S3, ADLS, GCS
  • AI/ML: Snowpark ML, MLOps

Perks & Benefits

  • Public Speaking & Communication Program
  • Mentoring Program with Senior Support Leads
  • 360° Progress Reviews
  • Weekly Learning Sessions & Guilds
  • Paid Certifications
  • Hackathons & Innovation Days
  • Recognition & Rewards Programs
  • Team Socials & Annual Offsites
  • Employee Assistance Program (24/7 Wellbeing Support)


The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Read more
Wissen Technology
at Wissen Technology
4 recruiters
Robin Silverster
Posted by Robin Silverster
Bengaluru (Bangalore)
7 - 10 yrs
₹15L - ₹40L / yr
Data engineering
skill iconPython
PySpark
Data Transformation Tool (DBT)
Apache Airflow
+2 more

About the Role

We are looking for a Senior Data Engineer with strong hands-on expertise in Databricks, Python, PySpark, and SQL to build scalable, high-performance data engineering solutions. You’ll architect and develop large scale, high-performance data pipelines capable of handling massive real-time and batch data volumes across multiple business systems. Databricks is the core enterprise data and processing platform for this role. You will also use Apache Airflow for workflow orchestration and dbt for ELT transformations, and will contribute to designing reliable, secure, and governed data platforms that enable analytics, reporting, and AI-driven use cases.

Key Responsibilities

  • Design and implement large-scale data pipelines using Python/PySpark, Databricks, and Microsoft Fabric.
  • Develop and optimize data processing workloads in Databricks using PySpark and Spark SQL, with a strong focus on scalability, reliability, performance, and maintainability.
  • Develop and maintain dbt models including layered architecture, incremental models, snapshots, macros, testing, and documentation.
  • Design, develop, and maintain Apache Airflow DAGs for orchestrating reliable, scalable, and observable data pipelines.
  • Design and implement data quality, observability, and governance frameworks, including automated testing, monitoring, lineage, access control, and data privacy standards.
  • Partner with analytics, product, and business stakeholders to turn requirements into trustworthy datasets, and raise the engineering bar through design discussions, code reviews, and mentoring junior engineers.

Required Skills

  • Strong expertise in Python for developing scalable, modular, and production-ready data engineering applications.
  • Strong expertise in PySpark, including DataFrame API, Spark SQL, Structured Streaming, partitioning strategies, joins, caching, handling data skew, and Spark performance optimization.
  • Strong hands-on experience with Databricks for data ingestion, transformation, processing, and optimization, including Delta Lake, Unity Catalog, Databricks Workflows, notebooks, jobs, and Databricks-native data engineering capabilities.
  • Strong experience in Databricks/Spark performance tuning, including query and job optimization, partitioning, file sizing, caching, join optimization, handling data skew, and efficient use of compute resources.
  • Hands-on experience with Delta Lake, including transactional data processing, schema management, incremental data processing, and reliable batch and streaming data pipelines.
  • Hands-on experience in developing dbt projects using layered architecture, incremental models, snapshots, macros/Jinja, testing, documentation, and deployment best practices.
  • Expertise in advanced SQL and data modelling — dimensional modeling, slowly changing dimensions, schema evolution, and query optimization.
  • Hands-on experience in developing and managing Apache Airflow DAGs, scheduling workflows, dependency management, retries, backfills, and operational monitoring.
  • Hands-on experience with at least one major cloud platform (AWS, Azure or GCP).
  • Strong problem-solving skills and the ability to work independently with business and analytics stakeholders.

Nice to Have

  • Hands-on exposure to Microsoft Fabric for data integration and analytics.
  • Experience using AI coding assistants (e.g. Claude Code, GitHub Copilot) as part of a development workflow.
  • Familiarity with modern DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and containerization (Docker/Kubernetes).
  • Domain expertise in financial services.


Read more
Envisioned Strategy and Consulting
Hyderabad, Chennai, Pune
6 - 10 yrs
₹16L - ₹20L / yr
PySpark
databricks
Snowflake
ETL
ELT
+4 more

Responsibilities and JD

Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.

Key Responsibilities:

  1. Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
  2. Develop batch and real-time data processing solutions for structured and semi-structured data.
  3. Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
  4. Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
  5. Develop scalable data models, data marts, and data warehouse solutions.
  6. Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
  7. Implement data quality, validation, governance, and security controls.
  8. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
  9. Manage source control and CI/CD deployments using Git and Azure DevOps.
  10. Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
  11. Mentor junior team members and participate in code reviews and technical design discussions.

 

Required Skills: PySpark, Databricks, Snowflake, Python, SQL.

 

Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.

Read more
VY SYSTEMS PRIVATE LIMITED
Santhanalakshmi A
Posted by Santhanalakshmi A
Bengaluru (Bangalore), Hyderabad
5 - 12 yrs
₹8L - ₹16L / yr
skill iconPython
PySpark
SQL

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Read more
Wissen Technology
at Wissen Technology
4 recruiters
Shivangi Bhattacharyya
Posted by Shivangi Bhattacharyya
Bengaluru (Bangalore)
5 - 15 yrs
Best in industry
skill iconPython
PySpark
Snowflake
Data Structures
Generative AI
+1 more

Job Description: Python + AI

Company: Wissen Technology

Location: Bangalore, India

Experience: 5+Years

Employment Type: Full-Time

Role: Python + AI / Data Engineer


About the Role

Wissen Technology is looking for experienced Python + AI / Data Engineering professionals to join our technology team in Bangalore. The ideal candidate will have strong hands-on experience in Python, Artificial Intelligence, Generative AI, PySpark, Snowflake, and data pipeline development.

The candidate should be capable of designing and developing scalable data and AI solutions, building robust ETL/ELT pipelines, working with large datasets, and integrating AI/ML capabilities into enterprise applications.


Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Python and PySpark.
  • Develop robust ETL/ELT pipelines for processing large volumes of structured and unstructured data.
  • Build and optimize data processing solutions using Apache Spark / PySpark.
  • Develop data ingestion and transformation pipelines into Snowflake.
  • Design and implement scalable Snowflake data models, tables, views, and SQL transformations.
  • Work with batch and, where applicable, real-time data processing pipelines.
  • Build and integrate AI and Generative AI solutions using Python.
  • Develop LLM-based applications, RAG solutions, AI agents, and AI-powered services.
  • Integrate AI models with enterprise data platforms and data pipelines.
  • Develop REST APIs and microservices using FastAPI, Flask, or Django.
  • Perform data cleansing, transformation, validation, and quality checks.
  • Optimize PySpark jobs, SQL queries, Snowflake workloads, and data pipelines for performance and scalability.
  • Implement data pipeline monitoring, logging, error handling, and alerting.
  • Work with cloud platforms such as AWS, Azure, or GCP.
  • Collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders.
  • Participate in technical design, architecture, code reviews, and production support.
  • Mentor junior engineers and contribute to engineering best practices.


Preferred Qualifications

  • Bachelor's or master's degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related field.
  • Experience working on enterprise-scale AI and data engineering projects.
  • Experience combining Python + PySpark + Snowflake + AI/GenAI in production environments.
  • Experience with Databricks is an advantage.
  • Experience with AI Agents / Agentic AI and tool/function calling.
  • Knowledge of distributed systems and cloud-native architecture.
  • Experience leading technical initiatives or mentoring engineering teams.


Read more
Top MNC
Top MNC
Agency job
Hyderabad, Bengaluru (Bangalore)
9 - 16 yrs
₹0.5L - ₹20L / yr
Google Cloud Platform (GCP)
skill iconPython
PySpark
SQL

🚀 Hiring: Senior GCP Data Engineer

We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.

📌 Job Details:

  • Role: Senior GCP Data Engineer
  • Experience: 8+ Years
  • Budget: Up to ₹30 LPA
  • Location: Bangalore / Hyderabad
  • Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
  • Notice Period: Immediate to 15 days
  • Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)

💻 Required Technical Skills:

  • Strong hands-on experience with GCP data engineering.
  • Excellent proficiency in Python, PySpark, and SQL.
  • Experience in designing, developing, and optimizing data pipelines.
  • Good understanding of ETL/ELT processes and large-scale data processing.
  • Experience working with cloud-based data platforms and data warehousing.
  • Strong analytical, problem-solving, and communication skills.

⭐ Preferred Skills:

  • Previous experience as a Technical Lead or leading a data engineering team.
  • Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.


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