Position : PySpark Developer / Senior Data Engineer

Location : Hyderabad, Bangalore, Chennai, Pune

Contract : 5 days working

Experience : 6-10 years

Notice period : 0 to 15 days

Role Overview :

As a Senior Data Engineer, you will be at the core of our data infrastructure, architecting and maintaining robust data pipelines that transform raw information into actionable business intelligence. You will collaborate closely with cross-functional teams, including data scientists, product managers, and software engineers, to ensure high-quality data availability for critical decision-making. By designing scalable solutions and optimizing complex workflows, you will directly influence our ability to deliver seamless user experiences and drive data-backed strategic outcomes across the organization.

This role is based in Hyderabad, Pune, Bangalore, and Chennai, offering a dynamic setting for high-impact engineering work.

Key Responsibilities :

- Architect and maintain scalable ETL pipelines using PySpark and Python to ensure seamless data ingestion and transformation for downstream analytics.
- Optimize big data workflows within Hadoop and Hive environments to improve processing efficiency and reduce latency for business-critical reporting.




- Design and implement sophisticated data models in our data warehouse to support complex analytical queries and ensure data integrity across the enterprise.
- Collaborate with cloud infrastructure teams to deploy and manage data solutions on AWS, ensuring high availability and cost-effective resource utilization.
- Mentor junior engineers through code reviews and technical guidance to foster a culture of engineering excellence and continuous improvement.

Required Skillset :

- Demonstrated expertise in building high-performance data pipelines using PySpark, Python, and SQL, with a deep understanding of distributed computing principles.
- Proven ability to manage large-scale datasets within Big Data ecosystems, including Hadoop, Hive, and modern cloud-based data warehousing solutions on AWS.
- Strong proficiency in data modeling techniques that translate complex business requirements into efficient, queryable database schemas.
- Exceptional communication skills, with the ability to articulate technical concepts to non-technical stakeholders and work effectively within a hybrid or office-based team structure.
- A proactive mindset toward problem-solving, with the adaptability to navigate evolving business requirements and emerging cloud technologies.
- A Bachelors or Masters degree in Computer Science, Engineering, or a related quantitative field, reflecting a strong foundation in algorithmic thinking and system design.

📌 PySpark Developer/Senior Data Engineer (India)
🏢 MLOPS Solutions
📍 India