Data Engineer

No. Of positions : Data Engineer : 05

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.
 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 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: 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

Work Location : Ahmedabad , Hyderabad , Remote (preferably from Pune & Delhi)

CTC : Data Engineer : Upto 30.0 LPA

Interested candidates please call us on 9035007003 / 9845264304 /9035302302 or email your resume to : placements@beechi.in