JB001748 Data Engineer Pune · Hybrid

Techilaservices; Pune District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Techila Services is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and distributed systems. You will work with Python, AWS, Airflow, and modern data architectures to support analytics and visualization.

The role emphasizes ETL/ELT pipelines, DAG orchestration, and collaboration with data scientists and backend teams in a hybrid, Pune-based setup.

Qualifications

• Strong Python proficiency with cloud-native tech.
• Experience building scalable ETL/ELT pipelines and data warehouses.
• Hands-on with DAG-based orchestration (Airflow/Prefect/Dagster).
• Experience with AWS services (Lambda, S3, ECS/EKS) and CI/CD/IaC.
• Knowledge of data modeling and schema design.
• Experience with data visualization (QuickSight) and dashboards.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for analytics.
• Develop backend data infrastructure using Python and cloud-native tech.
• Implement DAG-based workflows with Airflow/Prefect/Dagster.
• Work with AWS services to deploy scalable cloud solutions.
• Collaborate with data scientists and backend teams on data-driven apps.

Skills

Python

AWS

Airflow

Kubernetes

ETL/ELT pipelines

CI/CD

Data modeling

SQL

Distributed systems

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Dagster

Prefect

Kinesis

OpenSearch

Kafka

Amazon QuickSight

Job description

# Data EngineerJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Apply Now →← All JobsExperience7–14 yrsEmployment TypeFull-timeOpenings1 positionApply BySep 30, 2026## Required SkillsSr Data Engineer## Job DescriptionSr. Data EngineerRole SummaryWe are looking for a skilled Data Engineer / Backend Engineer with strong experience in Python and cloud-native technologies to design, develop, and maintain scalable data pipelines and distributed systems. The ideal candidate should have experience working with ETL/ELT pipelines, orchestration tools, AWS cloud services, data visualization, and modern data architecture.Key Responsibilities• Design, develop, and maintain scalable ETL/ELT data pipelines to support data processing and analytics workflows.• Build and manage distributed and event-driven architectures for large-scale data processing.• Develop backend services and data infrastructure using Python and cloud-native technologies.• Implement and maintain DAG-based workflow orchestration using tools like Airflow, Prefect, or Dagster.• Work with AWS services such as Lambda, S3, ECS/EKS, SQS, CloudWatch, and Application Migration Service (AWS MGN/AMC) to build and manage scalable cloud solutions.• Design and optimize data models and schema structures for efficient data storage and retrieval.• Develop and maintain analytics and visualization solutions using Amazon QuickSight, including dashboards, reports, datasets, and data integrations.• Implement and maintain CI/CD pipelines and Infrastructure as Code (IaC) for automated deployment and infrastructure management.• Monitor and maintain data systems using observability and monitoring tools.• Collaborate with cross-functional teams including data scientists, ML engineers, and backend developers to support data-driven applications.• Support cloud migration and modernization initiatives using appropriate AWS migration and cloud-native services.Mandatory Skills• Strong proficiency in Python. Knowledge of Golang or Rust is a plus.• Experience with cloud-native architecture, including Docker and Kubernetes.• Hands-on experience with distributed and event-driven architectures.• Experience building and maintaining ETL/ELT pipelines.• Solid understanding of data modeling and schema design.• Experience with DAG orchestration tools such as Airflow, Prefect, or Dagster.• Experience with AWS services, including Lambda, S3, ECS/EKS, SQS, and CloudWatch.• Experience with CI/CD pipelines and Infrastructure as Code (IaC).• Experience with Amazon QuickSight for data visualization, dashboards, reporting, or analytics.Good to Have• Experience with AWS Application Migration Service (AWS MGN/AMC) or similar cloud migration technologies.• Experience with task schedulers such as Prefect or Dagster.• Exposure to Logstash or similar data ingestion frameworks.• Experience with OpenSearch / Elasticsearch or similar search technologies.• Knowledge of compiled languages such as C/C++ or Java.• Familiarity with the MLOps lifecycle.• Experience with vector databases or embedding pipelines.• Exposure to large-scale indexing and search optimization strategies.• Experience with streaming technologies such as Kafka or Kinesis.• Familiarity with Natural Language Search, RAG architectures, and GenAI-related technologies, including knowledge graphs, prompt engineering, and embedding models.• Knowledge of observability and monitoring tools such as Prometheus, Grafana, or ELK Stack.• Advanced experience with Amazon QuickSight, including calculated fields, datasets, dashboard development, and integration with AWS data sources.### At a GlanceWork ModeHybridEmploymentFull-timeExperience7–14 yrsOpenings1LocationPuneDeadlineSep 30, 2026Apply for this Role →[ Hiring process ]## What to expectFour stages, typically completed within **2–3 weeks**. We respect your time — every stage has a clear purpose and timely feedback.1. STEP 0130 min ### Screening Call Introductory conversation with our talent team to understand your background and motivations.2. STEP 0260–90 min ### Technical Round Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.3. STEP 0345 min ### Culture Fit Conversation with practice leadership covering working style, ownership, and how you collaborate.4. STEP 04Within 5 days ### Offer Formal offer with full compensation breakdown, start date, and onboarding plan.Apply