Data Engineer – Flex Analytics

Amazon is hiring a Data Engineer for its Flex Analytics team in Hyderabad. The role focuses on building and supporting data technologies that power Amazon Flex analytics and help business teams understand driver behavior, satisfaction, and operational performance.

As a Data Engineer, you will work on data architecture, data pipelines, data integration, data quality, reporting, and business intelligence solutions. You will design scalable processes for publishing and reconciling data and help provide business teams with reliable access to large datasets for analysis and reporting.

Key Responsibilities:

• Build and support data pipelines using Amazon and AWS technologies such as Spark, Glue, Kinesis, Redshift, and related platforms.
• Develop and improve data architecture, data quality, monitoring, and data availability.
• Design scalable processes for publishing and reconciling datasets to maintain data integrity and accuracy.
• Work with BI Engineers to improve reporting and analytics processes.
• Support self-service access to data for business users and customers.
• Design and maintain platforms that provide business teams with ad-hoc access to large datasets.
• Support data visualization and business intelligence solutions for non-technical users.
• Work with data modeling, data warehousing, ETL pipelines, and data integration processes.
• Participate in strategic and technical planning discussions for data engineering initiatives.
• Help improve data governance and data lake solutions.

Required Skills:

• 1+ years of experience in data engineering.
• Experience with data modeling and data warehousing.
• Experience building and maintaining ETL pipelines.
• Knowledge of SQL or other query languages such as PL/SQL, HiveQL, or SparkSQL.
• Knowledge of scripting languages such as Python or KornShell.
• Understanding of relational databases and data integration.
• Knowledge of data quality and data integrity concepts.

Preferred Skills:

• Experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
• Experience with ETL tools such as Informatica, ODI, SSIS, BODI, or DataStage.
• Experience with AWS data services and cloud-based data engineering.
• Experience with Python, R, or Spark is highly preferred.

This Amazon Data Engineer position is suitable for candidates searching for Data Engineer jobs, AWS Data Engineer jobs, ETL Developer jobs, Big Data Engineer jobs, SQL jobs, Python Data Engineer jobs, Data Warehousing jobs, and Analytics jobs in Hyderabad.