Software Engineer III
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
The role provides a solid opportunity to work with modern data platforms and emphasizes practical experience in data engineering, though demands may vary.
- Stable role with focus on modern data engineering solutions
- Collaboration with diverse teams to develop data workflows
- Requires significant hands-on experience in data platforms
- May influence work-life balance with potential on-call support
Pros
- Generally a stable work environment with established data practices
- Focus on modern technologies, enhancing future career prospects
- Collaborative role with opportunities to work with diverse teams
Cons
- May involve on-call support, influencing work-life balance negatively
- Requires hands-on experience, limiting lower-experience candidates
- Salary range may not be as competitive compared to other industries
Who it's for
Mid-Level • On-site or hybrid
Good fit
- Data engineers looking to develop with modern platforms
- Candidates eager for collaboration in data teams
- Individuals with solid experience in ETL/ELT methods
Not recommended for
- Entry-level professionals without relevant background
- Candidates seeking strictly remote opportunities
- Those who prefer less technical, more managerial roles
Motivation fit
Key skills
About the job
Job Title: Software Engineer III
Location: Chennai
Employment Type: Full-time
Experience Level: 4–6 years
Skillset: We are seeking a highly motivated and skilled candidate with strong experience in Python, PySpark, SQL,AWS Glue and modern experience in data platforms like Vertica and Snowflake
Key Responsibilities:
Develop and maintain scalable ETL/ELT data pipelines using Python and PySpark.
Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
Design and support data integration workflows across Vertica and Snowflake environments.
Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements and translate them into technical solutions.
Perform light DBA activities such as table partitioning, indexing, user and access control, and performance tuning.
Ensure data quality, consistency, and integrity across systems.
Create and maintain technical documentation.
Required Skills & Qualifications:
4–6 years of experience in data engineering or a similar role.
Proficiency in Python for data manipulation and scripting.
Hands-on experience with PySpark, AWS Glue in distributed data processing.
Strong SQL skills with experience working on large datasets.
Practical experience with Vertica and Snowflake (data modeling, query optimization, etc.).
Understanding of basic DBA tasks including backup/recovery, schema management, and monitoring.
Familiarity with version control (e.g., Git)
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
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