Senior Data Engineer

2 weeks ago

Noida, Uttar Pradesh, India 073bb0bc-19a0-4971-abd5-5630d7e54328 Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Responsibilities:

· 
Data Pipeline Development:

Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes. 

· 
Data Infrastructure:

Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts. 

· 
Data Quality:

Ensure data quality by implementing data validation, cleansing, and standardization processes. 

· 
Performance Optimization:

Optimize data pipelines and infrastructure for performance and efficiency. 

· 
Collaboration:

Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements. 

· 
Tool and Technology Selection:

Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms). 

· 
Documentation:

Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes. 

Experience:

5 - 10 years

Skills:

· Strong proficiency in SQL and at least one programming language (e.g., Python, Java). 

· Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks). 

· Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services. 

· Understanding of data modeling and data architecture concepts. 

· Experience with ETL/ELT tools and frameworks. 

· Excellent problem-solving and analytical skills. 

· Ability to work independently and as part of a team. 

Preferred Qualifications:

· Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink). 

· Knowledge of machine learning and artificial intelligence concepts. 

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

· Certification in cloud platforms or data engineering.

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