Data Engineer

4 days ago

Ahmedabad, Gujarat, India DXFactor Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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
:

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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