Salary
≈ $13k – $25k per year (Estimated)
Location
In office (Bengaluru, Chennai)
Seniority
Senior · 5+ years exp
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Feb 5, 2025. Photon scores D on the Alion truth index.
Overview
Company
Impact
Profile match
Photon is a digital transformation and IT services company with its registered office in Chennai, India, and US offices including Dallas, building mobile apps, ecommerce platforms, cloud services, APIs and AI solutions for large enterprises. Started in 1999, it has grown to more than 4,000 people and works with many Fortune 100 and Fortune 500 companies in retail, banking, technology and consumer sectors, running delivery centers in Chennai, Bengaluru and Pune. It hires Java and backend developers, Android and full stack engineers, SAP Commerce developers, QA and automation testers, business analysts, scrum masters and product managers in India and the US.
Data Engineer :
Job Description :
- Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
- Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats .
- Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
- Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
- Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
- Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
- Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
- Stay up-to-date with emerging technologies and best practices in data engineering.
- Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.
Responsibilities:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5 + years experience in data engineering, ELT development, and data modeling.
- Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.
- Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.
- Demonstrated experience in developing custom connectors for data ingestion from various sources.
- Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance.
- Experience implementing DataOps principles and practices, including data CI/CD pipelines.
- Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
- Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.
- Familiarity with data visualization tools Apache SuperSet and dashboard development.
- Understanding of distributed systems and working with large-scale datasets.
- Familiarity with data governance frameworks and practices.
- Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).
- Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.
- Experience with Agile development methodologies and working in cross-functional Agile teams.
- Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Required Skills -
Python, Pyspark, Sql,Airflow, Trino, Hive, Snowflake, Agile Scrum
Good to have-
Linux,Openshift, Kubernentes, Superset
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