(Immediate Start) Data Engineer

2 weeks ago

Delhi, India DXFactor Full time

DXFactor is a US-based tech company working with customers across the globe.

We are a

Great place to work

with certified company.

We are looking for candidates for

Data Engineer (4 to 6 Yrs exp)

We have our presence in:
US
India (Ahmedabad, Bangalore)

Location : Ahmedabad
Website : www.DXFactor.com

Designation: Data Engineer (Expertise in SnowFlake, AWS & Python)

Key Responsibilities
Design, develop, and maintain scalable data pipelines for batch and streaming workflows
Implement robust ETL/ELT processes to extract data from various sources and load into data warehouses
Build and optimize database schemas following best practices in normalization and indexing
Create and maintain documentation for data flows, pipelines, and processes
Collaborate with cross-functional teams to translate business requirements into technical solutions
Monitor and troubleshoot data pipelines to ensure optimal performance
Implement data quality checks and validation processes
Build and maintain CI/CD workflows for data engineering projects
Stay current with emerging technologies and recommend improvements to existing systems

Requirements
Bachelor's degree in Computer Science, Information Technology, or related field
Minimum 4+ years of experience in data engineering roles
Strong proficiency in Python programming and SQL query writing
Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Experience with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery)
Proven track record in building efficient and scalable data pipelines
Practical knowledge of batch and streaming data processing approaches
Experience implementing data validation, quality checks, and error handling mechanisms
Working experience with cloud platforms, particularly AWS (S3, EMR, Glue, Lambda, Redshift) and/or Azure (Data Factory, Databricks, HDInsight)
Understanding of different data architectures including data lakes, data warehouses, and data mesh
Demonstrated ability to debug complex data flows and optimize underperforming pipelines
Strong documentation skills and ability to communicate technical concepts effectively

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