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12 DynPro Jobs

DynPro - Data Engineer - SQL/Spark/Scala (3-6 yrs)

3-6 years

DynPro - Data Engineer - SQL/Spark/Scala (3-6 yrs)

DynPro

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

Hiring Alert!!


- Only immediate joiners preferred, notice period won't be considered- .

Minimum experience : 3 years!!.

We are seeking a skilled and motivated Data Engineer to join our team.

- The ideal candidate will play a critical role in designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making across the organization.

- Proficiency in SQL, Spark, and Scala is essential for success in this role.

Key Responsibilities :

- Data Pipeline Development : Design, build, and optimize robust data pipelines and workflows to collect, process, and transform large datasets.

- Data Integration : Integrate data from various sources, ensuring consistency, accuracy, and reliability.

- Big Data Processing : Leverage Apache Spark to perform distributed data processing and manage large-scale datasets efficiently.

- Database Management : Use SQL to query and manage structured and semi-structured data, ensuring high performance and scalability.

- Code Development : Develop clean, reusable, and efficient code using Scala for data processing and transformations.

- Data Quality and Validation : Implement mechanisms to monitor and maintain data quality across pipelines.

- Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

- Performance Optimization : Optimize data pipeline performance and troubleshoot bottlenecks or issues in processing workflows.

- Documentation : Create and maintain technical documentation for data pipelines, processes, and infrastructure.

Key Skills and Qualifications :

Technical Expertise :

- Proficiency in SQL for querying, analyzing, and managing large datasets.


- Hands-on experience with Apache Spark for distributed data processing.

- Strong programming skills in Scala for building and optimizing data pipelines.

- Big Data Frameworks : Experience with big data technologies and frameworks such as Hadoop, Spark Streaming, or Hive is a plus.

- Data Modeling : Understanding of data modeling, ETL processes, and data warehousing concepts.

- Cloud Platforms : Experience with cloud-based data solutions (e.g, AWS, Azure, or Google Cloud) is advantageous.

- Problem-Solving : Strong analytical and problem-solving skills for troubleshooting complex data workflows.

- Tools : Familiarity with version control systems (e.g, Git) and CI/CD pipelines for data engineering workflows.

- Communication : Excellent written and verbal communication skills to collaborate with technical and non-technical teams.


Functional Areas: Software/Testing/Networking

Read full job description

Prepare for Data Engineer roles with real interview advice

Top DynPro Data Engineer Interview Questions

Q1. What if developer is not agree with defect you raised?
Q2. How will you decide sevierity and priority of defect?
Q3. What is smoke,sanity testing?
View all 8 questions

What people at DynPro are saying

4.7
 Rating based on 2 Data Engineer reviews

Likes

Title: Great Company, Amazing Culture Dynrpo India Pvt Ltd is a fantastic company to work for. The culture is inclusive, the management is supportive, and there are plenty of opportunities for growth. Highly recommend!

  • Salary - Excellent
  • +6 more
Dislikes

Nothing,its already good company

Read 2 Data Engineer reviews

Data Engineer salary at DynPro

reported by 10 employees with 1-4 years exp.
₹5 L/yr - ₹18 L/yr
At par with the average Data Engineer Salary in India
View more details

What DynPro employees are saying about work life

based on 221 employees
66%
69%
72%
98%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

DynPro Benefits

Work From Home
Job Training
Free Transport
Cafeteria
Health Insurance
Team Outings +6 more
View more benefits

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