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Data Engineer(Proclink)

Sigma HR Solutions

Job description

Data Engineer

Mandatory Requirements :

 Experience in AWS Glue
 Experience in Apache Parquet
 Proficient in AWS S3 and data lake
 Knowledge of Snowflake
 Understanding of filebased ingestion best practices.
 Scripting language Python & pyspark
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 processingtransformation 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 publishdistribute 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:

 57+ 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: Java, Scala, Python, C#
 Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie Airflow, Amazon Web
Services (AWS), Docker Kubernetes, Snowflake
 Proficient with
 Data miningprogramming 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 nontechnical
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

CICD: Jenkins, GitLab, Jira, Confluence other related tools
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