Data Engineer

2 months ago


Anywhere in IndiaMultiple Locations, IN Symphoni HR Full time

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and data warehouses. You will leverage your expertise in Snowflake, data warehousing, TBT, and Python to transform raw data into valuable insights that drive business decisions.


Key Responsibilities :


- Design, develop, and implement scalable data pipelines using Snowflake and other relevant tools.


- Extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into Snowflake data warehouses.


- Optimize data pipelines for performance and efficiency.


- Design and implement Snowflake data warehouses, including data modeling, schema design, and indexing.


- Ensure data quality, consistency, and security within the data warehouse.


- Develop data models that effectively represent business requirements and facilitate data analysis.


- Analyze data to identify trends, patterns, and anomalies


- Proficiency in using ETL tools like Talend, Informatica, or SSIS.


- Develop and maintain ETL processes to automate data movement and transformation.


- Strong scripting skills in Python (or other relevant languages) for data automation and analysis tasks.


- Automate routine data tasks using scripting and automation tools


- Experience working with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.


- Adhere to data governance policies and procedures to ensure data quality and security.


Required Skills and Qualifications :


Technical Skills :


- Strong proficiency in Snowflake and data warehousing concepts.


- Expertise in ETL tools (e.g., Talend, Informatica, SSIS).


- Strong scripting skills in Python.


- Knowledge of SQL and data modeling techniques.


- Familiarity with cloud platforms and cloud-based data services.


- Experience : 6-10 years of experience in data engineering or a related field.


- Education : Bachelor's degree in Computer Science, Data Science, or a related field.


Preferred Skills and Qualifications :


- Experience with data visualization tools (e.g., Tableau, Power BI).


- Knowledge of data lake concepts and technologies.


- Experience with big data technologies (e.g., Hadoop, Spark).

(ref:hirist.tech)
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