Data Engineer (Contract)

NexTurn Inc.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NexTurn Inc. in Hyderabad is seeking a data engineer to build and support production data pipelines, focusing on ELT/ETL ingest from multiple sources with Spark and Python for reliability and performance.

You will implement data quality checks, runbooks, and operate MWAA Airflow and AWS services, collaborating with onsite India engineers across time zones.

Qualifications

• BS/MS in CS or IT required.
• Experience building production data pipelines.
• Strong SQL, Python, and Spark experience.
• Familiarity with AWS services and data stores.

Responsibilities

• Build and enhance ELT/ETL pipelines ingesting data from multiple sources.
• Develop Spark and Python data processing jobs focusing on performance.
• Implement data quality checks and resolve data defects.
• Operate MWAA Airflow workflows and AWS-native services.
• Collaborate across time zones with India-based stakeholders.

Skills

SQL

Python

AWS

Spark

Airflow

ETL/ELT

Data quality

Stakeholder comms

Education

Bachelor's degree in Computer Science or related field

Tools

S3

Glue

EMR

Lambda

Terraform

Kafka

Job description

• Hands-on data engineering experience building and supporting production data pipelines.
• Strong SQL skills (design, tuning, troubleshooting) and experience working with relational and analytical data stores.
• 3+ years of coding/scripting experience with Python (Java/Scala a plus).
• 3+ years of experience on AWS (e.g., S3, Glue, EMR, Lambda, IAM, CloudWatch, MWAA/Airflow).
• 2+ years of experience with infrastructure-as-code and CI/CD practices (Terraform preferred).
• 2+ years of experience with Spark; streaming experience with Kafka is a plus.
• Experience leveraging AI tools (e.g., GenAI assistants) to improve productivity, with an understanding of secure and responsible usage.
• Self-driven, delivery-focused, and comfortable working in a contract environment with clear milestones and timelines.
• Curious and methodical, able to research new data sources, open-source tools, and ingestion patterns to propose practical approaches.
• Strong operational mindset: observability, alerting, incident response, and continuous improvement to reduce pipeline failures.
• Clear communicator with strong stakeholder management skills; able to surface risks early and provide crisp status updates.
• Familiarity with domain areas such as Portfolio Management, Cyber Security, and ServiceNow reporting is a plus.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Job Description:

• Build and enhance ELT/ETL pipelines to ingest, transform, and curate data from multiple sources into clean, trusted datasets.
• Develop and maintain data processing jobs using Spark and Python, with a focus on performance and reliability.
• Implement and monitor data quality checks, reconcile issues, and partner with analysts to resolve data defects.
• Translate requirements into technical tasks and deliver well-documented solutions, including runbooks and operational playbooks.
• Support day-to-day operations of data pipelines-monitoring, incident triage, root-cause analysis, and meeting SLA targets.
• Develop workflows and scheduling using MWAA (Airflow) and AWS-native services.
• Collaborate effectively across time zones with onsite stakeholders and the India engineering team through clear communication and proactive status updates.