Amazon Web Services (AWS)Job Title: AWS-Azure Data Engineer with Snowflake
Location: Bangalore, India
Experience: 4+ years
Budget: 15 to 20 LPA
Notice Period: Immediate joiners or less than 15 days
Job Description:
We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.
Responsibilities:
- Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
- Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
- Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
- Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
- Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
- Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
- Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
- Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
- Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
- Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
- Strong proficiency in data modelling, ETL development, and data integration.
- Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
- In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
- Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
- Familiarity with data governance principles and security best practices.
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
- Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
- Immediate joiner or notice period less than 15 days preferred.
If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Mobile Programming LLC
About
Mobile programming LLC is a US based MNC company. Our services are focused on Mobility Solutions, Custom App Development, Cloud Solutions, IoT, AR/VR, Blockchain, Artificial Intelligence & Machine Learning, Predictive Analytics & Big Data Solutions, and several other trending as well as emerging technologies.
You can find more details on - https://www.mobileprogramming.com/
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We are looking for a highly skilled and experienced Data Engineer with deep expertise in Airflow, dbt, Python, and Snowflake. The ideal candidate will be responsible for designing, building, and managing scalable data pipelines and transformation frameworks to enable robust data workflows across the organization.
Key Responsibilities:
- Design and implement scalable ETL/ELT pipelines using Apache Airflow for orchestration.
- Develop modular and maintainable data transformation models using dbt.
- Write high-performance data processing scripts and automation using Python.
- Build and maintain data models and pipelines on Snowflake.
- Collaborate with data analysts, data scientists, and business teams to deliver clean, reliable, and timely data.
- Monitor and optimize pipeline performance and troubleshoot issues proactively.
- Follow best practices in version control, testing, and CI/CD for data projects.
Must-Have Skills:
- Strong hands-on experience with Apache Airflow for scheduling and orchestrating data workflows.
- Proficiency in dbt (data build tool) for building scalable and testable data models.
- Expert-level skills in Python for data processing and automation.
- Solid experience with Snowflake, including SQL performance tuning, data modeling, and warehouse management.
- Strong understanding of data engineering best practices including modularity, testing, and deployment.
Good to Have:
- Experience working with cloud platforms (AWS/GCP/Azure).
- Familiarity with CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).
- Exposure to modern data stack tools (e.g., Fivetran, Stitch, Looker).
- Knowledge of data security and governance best practices.
Note : One face-to-face (F2F) round is mandatory, and as per the process, you will need to visit the office for this.
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Location: Bangalore
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Requirements:
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- Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon