AWS Data Engineer

6 days ago


Bengaluru, India Xpheno Full time

Job Overview :We are seeking an experienced Data Engineer with strong hands-on expertise in AWS data services, PySpark, Databricks, and orchestration tools. The ideal candidate will be responsible for building, optimizing, and maintaining scalable ETL/ELT pipelines to support our data analytics, reporting, and business intelligence needs. This role requires strong problem-solving skills, a solid understanding of cloud-based data architectures, and the ability to collaborate with cross-functional teams.Must-Have Skills :- AWS S3- AWS Glue- AWS Lambda- Databricks- Apache Airflow- PySpark- SQL- Amazon Redshift- AWS Step FunctionsKey Responsibilities :- Design, develop, and maintain end-to-end ETL/ELT pipelines using AWS Glue, PySpark, Databricks, and other AWS-native services.- Work with structured and semi-structured data stored in AWS S3 and integrate with Redshift to support scalable and efficient data warehousing solutions.- Automate data workflows using AWS Lambda, Airflow, Step Functions, and related orchestration tools to ensure seamless data movement and processing.- Develop and optimize complex SQL queries to support data extraction, transformation, reporting, and analytical use cases.- Monitor and troubleshoot data pipelines, ensuring performance, reliability, and adherence to SLAs.- Implement data quality checks, validation frameworks, and performance tuning for large-scale data processing workloads.- Collaborate with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver data solutions aligned with business goals.- Ensure best practices in data engineering, including automation, documentation, version control, and CI/CD for data workflows.- Stay updated with emerging cloud and big data technologies and recommend improvements to the existing data ecosystem.Preferred Qualifications (Nice to Have) : - Experience with AWS CloudFormation, Terraform, or IaC tools- Knowledge of data governance, cataloging, and security best practices- Exposure to streaming technologies (Kafka, Kinesis, etc.)- Experience with Redshift Spectrum or Lake FormationEducational Background : - Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field (ref:hirist.tech)


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