Amazon Web Services (AWS)
Python
PostgreSQL
Java
Scala
C#
JenkinsJob Description
Mandatory Requirements
-
Experience in AWS Glue
-
Experience in Apache Parquet
-
Proficient in AWS S3 and data lake
-
Knowledge of Snowflake
-
Understanding of file-based ingestion best practices.
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Scripting language - Python & pyspark
CORE RESPONSIBILITIES
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Create and manage cloud resources in AWS
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Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
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Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
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Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
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Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
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Define process improvement opportunities to optimize data collection, insights and displays.
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Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
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Identify and interpret trends and patterns from complex data sets
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Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
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Key participant in regular Scrum ceremonies with the agile teams
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Proficient at developing queries, writing reports and presenting findings
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Mentor junior members and bring best industry practices.
QUALIFICATIONS
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5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
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Strong background in math, statistics, computer science, data science or related discipline
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Advanced knowledge one of language: Java, Scala, Python, C#
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
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Proficient with
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Data mining/programming tools (e.g. SAS, SQL, R, Python)
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Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
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Data visualization (e.g. Tableau, Looker, MicroStrategy)
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Comfortable learning about and deploying new technologies and tools.
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Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
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Good written and oral communication skills and ability to present results to non-technical audiences
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Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
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AWS certification
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Spark Streaming
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Kafka Streaming / Kafka Connect
-
ELK Stack
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Cassandra / MongoDB
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CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Shubham Vishwakarma
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Their business model is built on aligned incentives with no initial costs. They only makes
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composed of owners. They are looking for a backend engineer with a demonstrated track record of developing and maintaining production services, innovative thinking, and technical excellence.
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Create technical plans of projects assigned to you.
Come up with well-structured solutions to ambiguous problems and implement them.
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Provide technical direction on our various products and upcoming projects.
Champion reliability and quality by using best practices in software engineering and modular
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Own the full release cycle from development to deployment.
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3+ Years of experience as a software engineer working on backend applications.
Advanced knowledge of Python (preferably, the Django framework) and relational databases.
Experience with agile, test-driven development, continuous integration, and automated testing.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon