Data Engineer

Dynatech Systems Pvt. Ltd.; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

DynaTech is seeking a Data Engineer in India to design, build, and maintain scalable data pipelines. You will leverage Python, PySpark, and Databricks to deliver modern data engineering solutions that support analytics and decision making.

The role emphasizes data quality, governance, and collaboration with analysts and data architects. You will work across structured and unstructured data sources while optimizing performance and cost. Experience with cloud platforms and CI/CD is a plus.

Qualifications

• 3+ years of experience in Data Engineering.
• Minimum 2 years of hands-on experience with Python.
• Strong experience with PySpark.
• Mandatory experience with Databricks.
• Experience with SQL and database concepts.
• Understanding of ETL/ELT processes and data warehousing concepts.
• Experience working with cloud-based data platforms.
• Knowledge of Git and CI/CD practices.

Responsibilities

• Develop, maintain, and optimize ETL/ELT data pipelines.
• Build scalable data processing solutions using Python and PySpark.
• Design and implement data workflows in Databricks.
• Perform data ingestion, transformation, and validation from multiple data sources.
• Optimize Spark jobs for performance and cost efficiency.
• Work with structured and unstructured datasets.
• Collaborate with business analysts, data architects, and stakeholders to understand data requirements.
• Ensure data quality, governance, and security standards are maintained.
• Troubleshoot and resolve data pipeline issues.

Skills

Python

PySpark

Databricks

SQL

ETL/ELT

Cloud platforms

Git & CI/CD

Job description

We are looking for a Data Engineer with 3+ years of experience in designing, developing, and maintaining scalable data pipelines. The ideal candidate should have strong hands-on experience in Python, PySpark, and Databricks for building modern data engineering solutions.

Key Responsibilities

Develop, maintain, and optimize ETL/ELT data pipelines.

Build scalable data processing solutions using Python and PySpark.

Design and implement data workflows in Databricks.

Perform data ingestion, transformation, and validation from multiple data sources.

Optimize Spark jobs for performance and cost efficiency.

Work with structured and unstructured datasets.

Collaborate with business analysts, data architects, and stakeholders to understand data requirements.

Ensure data quality, governance, and security standards are maintained.

Troubleshoot and resolve data pipeline issues.

Required Skills & Qualifications

3+ years of experience in Data Engineering.

Minimum 2 years of hands-on experience with Python.

Strong experience with PySpark.

Mandatory experience with Databricks.

Experience with SQL and database concepts.

Understanding of ETL/ELT processes and data warehousing concepts.

Experience working with cloud-based data platforms.

Knowledge of Git and CI/CD practices.

Preferred Skills

Experience with Azure Data Lake, AWS S3, or similar storage platforms.

Exposure to Delta Lake.

Knowledge of data modeling and performance tuning.

Familiarity with Azure services.

Transforming Jobs into Journeys

At DynaTech, we believe careers should evolve with innovation. Our teams work on cutting-edge technologies across Microsoft Dynamics 365, Data, AI, and Cloud to deliver impactful solutions for global businesses. We foster a collaborative culture where ideas are encouraged and every individual has the opportunity to grow. If you're passionate about technology and creating real business impact, DynaTech is the place to build your future.

Flexible work options that help you stay productive while maintaining balance.

Growth

Continuous learning and real project experience to accelerate your career.

Bonus

Performance-driven rewards and incentives that recognize your contributions.

Work-Life Balance

A supportive culture that encourages balance, well-being, and sustainable success.

Dynamic Work Environment

At DynaTech, embrace a workplace that mirrors the dynamism of the tech world. Our office is not just a space; it’s an ecosystem where creativity, collaboration, and innovation converge.

Teamwork is not just a buzzword here; it's a way of life. DynaTech fosters a collaborative culture where ideas flow freely, and each team member is a valued contributor to the bigger picture.

Quality Control

Elevate your skills with our commitment to continuous learning. DynaTech invests in your professional development, offering workshops, training sessions, and opportunities to attend tech conferences.

Work-Life Balance

We understand that your life extends beyond work. DynaTech promotes a healthy work-life balance, offering flexibility that empowers you to manage your professional and personal commitments seamlessly.

Celebrating Milestones

Every success, big or small, deserves recognition. At DynaTech, recognize and be recognized. Whether it's a project triumph or a personal achievement, we take pride in recognizing and celebrating these moments of excellence.

Employee Wellness Programs

Your well-being is a priority. DynaTech cares about your health and happiness, offering comprehensive wellness programs, fitness initiatives, and a supportive environment that places your overall well-being at the forefront.

Meet the DynaTechies

"Working at DynaTech means constantly learning and solving new challenges. The exposure to enterprise technologies and supportive leadership has helped me grow both technically and professionally."

Senior Dynamics Consultant

"What I appreciate most about DynaTech is the collaborative culture. Everyone is willing to share knowledge, and that makes even complex projects exciting to work on."

Solution Architect

"DynaTech gives you the opportunity to work on impactful projects with modern technologies while continuously developing your skills."