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Senior Data Engineer

alterdomus.com Logo

Alter Domus

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a skilled Data Engineer to design, build, and maintain robust data pipelines that power our analytics and business intelligence capabilities. You will work with modern data stack technologies to create scalable data solutions, ensure data quality, and enable data-driven decision-making across the organization.

Job Responsibility:

  • Design, build, and maintain scalable ETL/ELT pipelines to support analytics and reporting needs
  • Develop automated data ingestion processes from various sources into the data warehouse
  • Implement data transformation workflows that ensure data consistency and reliability
  • Monitor and troubleshoot pipeline issues to maintain data availability and accuracy
  • Build reusable pipeline components and frameworks for efficient development
  • Implement modular transformations and testing frameworks using DBT (Data Build Tool)
  • Design efficient database schemas optimized for analytical workloads
  • Create and maintain data models that support business requirements
  • Write complex SQL queries and optimize them for performance
  • Work with Amazon Athena or similar query services for large-scale data analysis
  • Build and schedule data workflows using Apache Airflow
  • Create dependencies and manage task execution across complex data pipelines
  • Implement error handling, retry logic, and alerting mechanisms
  • Automate routine data operations and maintenance tasks
  • Use Python for data processing, automation, and custom integrations
  • Implement data validation rules and quality checks throughout pipelines
  • Establish data lineage tracking and documentation practices
  • Build data observability solutions to monitor pipeline health and data integrity
  • Collaborate with stakeholders to define and enforce data governance standards
  • Create and maintain documentation for data models, pipelines, and processes
  • Tune data pipelines and queries for scale, performance, and reliability
  • Identify and resolve bottlenecks in data processing workflows
  • Optimize data storage and partitioning strategies
  • Monitor resource utilization and implement cost optimization measures
  • Conduct performance testing and implement improvements

Requirements:

  • Experience designing, building, and maintaining ETL/ELT data pipelines
  • Hands-on experience with DBT for implementing modular transformations and testing
  • Practical knowledge of Apache Airflow for workflow orchestration and scheduling
  • Strong SQL skills including complex queries, data modeling, and optimization
  • Experience with Amazon Athena or similar query services for analytical workloads
  • Proficiency in Python for data processing and automation
  • Understanding of data quality practices, validation, and governance principles
  • Experience with performance tuning of data pipelines and queries
  • Strong problem-solving skills and attention to detail
  • Excellent communication and collaboration abilities

Nice to have:

  • Experience configuring and managing Airbyte connectors for data ingestion and integration workflows
  • Experience creating and supporting Power BI dashboards and business intelligence solutions
  • Familiarity with cloud data platforms (AWS, Azure, or GCP)
  • Knowledge of data warehousing concepts and modern data architectures
  • Experience with version control systems (Git) and CI/CD practices
  • Understanding of data security and compliance requirements
  • Familiarity with streaming data technologies (Kafka, Kinesis)
  • Experience with containerization (Docker) and infrastructure as code
  • Knowledge of data catalog and metadata management tools
  • Exposure to machine learning workflows and MLOps practices
What we offer:
  • Support for professional accreditations
  • Flexible arrangements, generous holidays, plus an additional day off for your birthday
  • Continuous mentoring along your career progression
  • Active sports, events and social committees across our offices
  • 24/7 support available from our Employee Assistance Program
  • The opportunity to invest in our growth and success through our Employee Share Plan
  • Plus additional local benefits depending on your location

Additional Information:

Job Posted:
February 14, 2026

Work Type:
Hybrid work
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