Senior Data Engineer
Experience
Salary
Location
Job Description
Core Responsibilities
• Create and manage cloud resources in AWS
• Data ingestion from different data sources which exposes data using different
technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time
series data based on various proprietary systems. Implement data ingestion
and processing with the help of Big Data technologies
• 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
• Develop automated data quality check to make sure right data enters the
platform and verifying the results of the calculations
• Develop an infrastructure to collect, transform, combine and publish/distribute
customer data.  
• Define process improvement opportunities to optimize data collection, insights
and displays. 
• Ensure data and results are accessible, scalable, efficient, accurate, complete
and flexible
• Identify and interpret trends and patterns from complex data sets
• Construct a framework utilizing data visualization tools and techniques to
present consolidated analytical and actionable results to relevant stakeholders.
• Key participant in regular Scrum ceremonies with the agile teams
• Proficient at developing queries, writing reports and presenting findings
• Mentor junior members and bring best industry practices
Qualifications
• 5+ years’ experience as data engineer in consumer finance or equivalent
industry (consumer loans, collections, servicing, optional product, and insurance
sales)
• Strong background in math, statistics, computer science, data science or
related discipline
• Advanced knowledge one of language: Snowflake,Java, Scala, Python, C#
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow,
Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and
Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools.
• Organizational skills and the ability to handle multiple projects and priorities
simultaneously and meet established deadlines.
• Good written and oral communication skills and ability to present results to non-
technical audiences
• Knowledge of business intelligence and analytical tools, technologies and
techniques. 
• Familiarity and experience in the following is a plus:
• AWS certification
• Spark Streaming
• Kafka Streaming / Kafka Connect
• ELK Stack
• Cassandra / MongoDB
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Designation
Data Engineer
Key Skills
Industry
Software Development
Functional Area
IT Services
Employment Type
Full Time
Education
No Formal Education
Job Type
Work From Home
Assessment Details
AWS Cloud Engineer
29 Minutes
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