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Data Engineer (4 to 6 Years exp)

Fresher   Ahmedabad, Gujarat   22 Aug, 2025
DXFactor
Job LocationAhmedabad, Gujarat
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    DXFactor is a US-based tech company working with customers globally. We are a certified Great Place to Work and currently seeking candidates for the role of Data Engineer with 4 to 6 years of experience. Our presence spans across the US and India, specifically in Ahmedabad. As a Data Engineer at DXFactor, you will be expected to specialize in SnowFlake, AWS, and Python.Key Responsibilities:- Design, develop, and maintain scalable data pipelines for both batch and streaming workflows.- Implement robust ETL/ELT processes to extract data from diverse sources and load them into data warehouses.- Build and optimize database schemas following best practices in normalization and indexing.- Create and update 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.- Develop and manage CI/CD workflows for data engineering projects.- Stay updated with emerging technologies and suggest enhancements to existing systems.Requirements:- Bachelors degree in Computer Science, Information Technology, or a related field.- Minimum of 4 years of experience in data engineering roles.- 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).- Familiarity with data warehousing technologies such as Snowflake, Redshift, and BigQuery.- Demonstrated ability in constructing efficient and scalable data pipelines.- Practical knowledge of batch and streaming data processing methods.- Experience in implementing data validation, quality checks, and error handling mechanisms.- Work experience with cloud platforms, particularly AWS (S3, EMR, Glue, Lambda, Redshift) and/or Azure (Data Factory, Databricks, HDInsight).- Understanding of various data architectures including data lakes, data warehouses, and data mesh.- Proven ability to debug complex data flows and optimize underperforming pipelines.- Strong documentation skills and effective communication of technical concepts.,

Keyskills :
SnowFlakeAWSPythonSQLPostgreSQLMySQLMongoDBCassandraData validationBatch processingAzureDebuggingRedshiftBigQueryETLELT processesCICD workflowsData quality checksStreaming data processingCloud platforms AWS

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