Data Engineer 1

We are a consulting company with a bunch of technology-interested and happy people!

We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.

With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.

We are looking for you who want to grow with us!

With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

We are seeking a skilled and forward-thinking Data Engineer to join our Emerging Tech team.

Company : Aqilea India

Employment Type: Full Time

Location: Bangalore(Hybrid)

Experience: 5 to 7 years

About the Role:

We are seeking a skilled Data Engineer with strong expertise in building and optimizing data pipelines, managing large-scale datasets, and enabling data-driven decision-making. The ideal candidate should have solid experience in SQL, Python, and cloud-based data platforms, with a focus on Google Cloud Platform (GCP).

Job Description Data Engineer (Azure & GCP)

Employment Type: Full Time
Location: Bangalore (Hybrid)
Experience: 5 to 7 years

About the Role:

We are looking for a Data Engineer with strong expertise in Azure Data Platform and GCP BigQuery to design, build, and optimize cloud-based data solutions. The ideal candidate will have hands-on experience in managing end-to-end data pipelines, cloud integration, and data lake architectures, along with a deep understanding of modern data engineering practices.

Key Responsibilities:

• Design, develop, and maintain data pipelines and ETL workflows across Azure and GCP environments.
• Work extensively with BigQuery for data modeling, query optimization, and partitioning strategies.
• Develop and orchestrate workflows using Azure Data Factory or equivalent tools.
• Write optimized SQL and Python scripts for data ingestion, transformation, and validation.
• Manage and integrate large datasets from diverse cloud and on-premises sources.
• Implement and maintain data lake architectures supporting both structured and unstructured data.
• Ensure compliance with best practices for cloud security, IAM policies, encryption, and networking.
• Participate in designing and maintaining CI/CD pipelines for data solutions using Git.
• Collaborate closely with cross-functional teams to define data requirements and deliver scalable solutions.
• Troubleshoot data issues, perform root cause analysis, and continuously optimize system performance.

Required Skills & Experience:

• 5 to 7 years of professional experience in data engineering with a focus on Azure Data Platform.
• Strong expertise in GCP BigQuery (data modeling, query optimization, and performance tuning).
• Hands-on experience with Azure Data Factory or other ETL/ELT orchestration tools.
• Proficiency in SQL, Python, and scripting for data workflows and automation.
• Strong understanding of data lake concepts, data architecture, and data governance.
• Familiarity with cloud networking, security, encryption, and IAM principles.
• Experience working with CI/CD and version control tools like Git.
• Excellent analytical and problem-solving skills with high attention to detail.

Preferred Qualifications:

• Certifications such as:
• • Microsoft Certified: Azure Data Engineer Associate
  • Google Cloud Professional Data Engineer
• Experience using Terraform or other Infrastructure-as-Code (IaC) frameworks.

Notice Period: Immediate to 15 Days Only

Work Location : Bangalore(Hybrid)