Website:
expertrons.in
Job details:
Experience: 3–6 Years |
Location: Ahmedabad, Gujarat |
Work Mode: Onsite |
CTC: ₹6 LPA – ₹12 LPA
Role Overview
We are looking for a skilled and detail-oriented Data Engineer to design, build and maintain robust data pipelines and infrastructure that power business intelligence and analytics. You will work closely with data analysts, architects and business stakeholders to ensure reliable, scalable and efficient data flow across systems. This role demands strong hands-on expertise in Python, SQL, ETL/ELT processes and cloud-based data platforms.
Key Responsibilities
- Design, develop and maintain scalable ETL/ELT data pipelines to ingest, transform and deliver data from multiple sources
- Build and optimize data workflows using orchestration tools such as Apache Airflow or equivalent
- Work with cloud platforms (AWS, GCP or Azure) to manage data storage, processing and integration services
- Implement and manage data warehousing solutions using platforms such as Snowflake, BigQuery or Redshift
- Write efficient, well-structured Python and SQL code for data extraction, transformation and loading tasks
- Collaborate with analytics and business teams to understand data requirements and translate them into technical solutions
- Monitor, troubleshoot and resolve pipeline failures, data quality issues and performance bottlenecks
- Document data models, pipeline architectures and technical processes for team reference and governance
- Participate in code reviews and contribute to engineering best practices within the data team
Must-Have Requirements
- 3–6 years of hands-on experience as a Data Engineer or in a similar data-focused engineering role
- Strong proficiency in Python and SQL for data manipulation and pipeline development
- Proven experience designing and managing ETL/ELT processes and data pipelines
- Working knowledge of at least one cloud platform — AWS, GCP or Azure
- Hands-on experience with data warehousing concepts and tools such as Snowflake, BigQuery or Redshift
- Familiarity with workflow orchestration tools such as Apache Airflow, dbt or similar
- Good English communication skills with the ability to collaborate across technical and non-technical teams
- Strong problem-solving mindset with the ability to work independently and as part of a team
Good-to-Have
- Experience in data modeling and query performance optimization
- Exposure to real-time data processing or streaming tools such as Apache Kafka, Spark Streaming or Flink
- Understanding of data governance, data lineage and data quality frameworks
- Experience working in Agile or Scrum-based development environments
Skills: cloud data engineer,data pipeline engineer,data engineer,etl developer,elt engineer,big data engineer
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