Assistant Manager - Data Engineering

LatentView Analytics · Chennai

Source and collection record

Last observed by our collector: 8 October 2026 at 11:39 pm IST. This is not a manual review or a confirmation from the employer.

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Designation: Assistant Manager - Data EngineeringExperience: 5 to 8 YearsLocation: Chennai, Tamil Nadu , India (CHN) Job Description:We are seeking a skilled Data Engineer to design, develop, and maintain scalable data solutions on AWS. The ideal candidate will have strong expertise in PySpark, Python, and AWS data services, with the ability to work independently and deliver high-quality data engineering solutions. Responsibilities:<ul><li style="line-height:1.6;">Design, develop, and maintain scalable data pipelines using PySpark and Python.</li><li style="line-height:1.6;">Build and deploy AWS-based data solutions using services such as S3, Lambda, SNS, and Step Functions.</li><li style="line-height:1.6;">Process, transform, and optimize large-scale datasets for analytics and reporting.</li><li style="line-height:1.6;">Develop efficient and reliable ETL/ELT workflows.</li><li style="line-height:1.6;">Monitor and troubleshoot data pipelines to ensure performance and reliability.</li><li style="line-height:1.6;">Work independently as an individual contributor to deliver data engineering initiatives.</li><li style="line-height:1.6;">Follow best practices for data quality, governance, and metadata management.</li></ul> Required Skills:<ul><li style="line-height:1.6;">PySpark</li><li style="line-height:1.6;">Python (NumPy, Pandas, etc.)</li><li style="line-height:1.6;">AWS Services (S3, Lambda, SNS, Step Functions)</li><li style="line-height:1.6;">Data Pipeline Development & ETL</li><li style="line-height:1.6;">SQL<span style="font-size:14px;font-family:Georgia;color:rgb(42,51,62);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;">We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.</li></ul>

Collected experience requirement

5 years