Data Engineer

3 days ago

vadodara, 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: AhmedabadWebsite: www.DXFactor.comDesignation: 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 systemsRequirements- 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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