Data Engineer - FinTech
- Amazon
- 5 - 10 years
- Hyderabad
- 12 days ago
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Job Description
We are seeking a highly skilled Data Engineer to join our FinTech ADA team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making across Fice and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores (object storage, key-value/document databases, graph, and column-family stores) to deliver reliable, high-performance data solutions. This role requires strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams to translate business needs into technical data solutions. Scope
Fintech is seeking a Data Engineer to be part of Accounting and Data Analytics team. Our team builds and maintains data platform for sourcing, merging and transforming ficial datasets to extract business insights, improve controllership and support ficial month-end close periods. As a contributor to a crucial project, you will focus on building scalable data pipelines, optimizations of existing pipelines and operation excellence.
Qualifications-
-
5+ yrs experience as Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- bachelors degree in Computer Science, Engineering, Mathematics, or a related field.
- Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc
- Experience with coding languages like Python/Java/Scala
- Experience in maintaining data warehouse systems and working on large scale data transformation using EMR, Hadoop, Hive, or other Big Data technologies
- Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followe'd
- Experience with hardware provisioning, forecasting hardware usage, and managing to a budget.
- Exposure to large databases, BI applications, data quality and performance tuning
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL 5+ years of data engineering experience
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Job Classification
Industry: InternetFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: AmazonLocation(s): Hyderabad
Keyskills: Performance tuning Automation Data modeling Coding SCALA Data quality Forecasting SQL Python
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