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Data Engineer Position
2 months ago
Job Overview
We are seeking a skilled Data Engineer to join our team at TransOrg Analytics in Gurgaon. The successful candidate will design, develop, and maintain robust data pipelines using Azure Data Factory and Databricks workflows.
About the Role
This is an exciting opportunity for a Data Engineer with a focus on Azure cloud technologies and Snowflake. As a key member of our team, you will be responsible for:
- Designing and implementing big data solutions using Azure Databricks.
- Maintaining relational databases using Azure Delta Lake.
- Ensuring data quality and integrity through rigorous testing and validation.
- Monitoring and troubleshooting data pipelines and workflows to ensure seamless operation.
- Implementing data security and compliance measures in line with industry standards.
- Continuously improving data infrastructure (including CI/CD) for scalability and performance.
- Developing and maintaining ETL processes to extract, transform, and load data from various sources into Snowflake.
- Utilizing ETL tools (e.g., ADF, Talend) to automate and manage data workflows.
- Developing and maintaining CI/CD pipelines using GitHub and Jenkins for automated deployment of data models and ETL processes.
- Monitoring and troubleshooting pipeline issues to ensure smooth deployment and integration.
- Designing and implementing scalable and efficient data models in Snowflake.
- Optimizing data structures for performance and storage efficiency.
Requirements
To succeed in this role, you should have:
- A Bachelor's degree in Computer Science, Engineering, Statistics, Math's, or related quantitative field.
- 3-6 years of relevant experience in data engineering.
- Proven experience as a Data Engineer with a focus on Azure cloud technologies/Snowflake.
- Strong proficiency in Azure Data Factory, Azure Databricks, ADLS, and Azure SQL Database.
- Experience with big data processing frameworks like Apache Spark.
- Expert-level proficiency in SQL and experience with data modeling and database design.
- Knowledge of data warehousing concepts and ETL processes.
- Strong focus on PySpark, Scala, and Pandas.
- Proficiency in Python programming and experience with other data processing frameworks.
- Solid understanding of networking concepts and Azure networking solutions.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Azure Data Engineer certification - AZ-900 and DP-203 (mandatory).
- Familiarity with DevOps practices and tools for CI/CD in data engineering.
- Certification: MS Azure / DBR Data Engineer.
- Data Ingestion - Coding & automating ETL pipelines, both batching & streaming.
Estimated Salary Range
The estimated salary range for this position is ₹25,00,000 - ₹35,00,000 per annum, depending on experience and qualifications.
Why Join Us?
At TransOrg Analytics, we offer a dynamic work environment that encourages innovation and collaboration. Our team members enjoy competitive salaries, opportunities for professional growth, and a chance to work on challenging projects that make a real impact.
