Data Engineer

4 weeks ago

Ahmedabad, Gujarat, 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 : Designation: Data Engineer (Expertise in Snow Flake, 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., Postgre SQL, My SQL) and No SQL databases (e.g., Mongo DB, Cassandra)  Experience with data warehousing technologies (e.g., Snowflake, Redshift, Big Query)  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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