
Job Description
Mandatory Requirements
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Experience in AWS Glue
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Experience in Apache Parquet
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Proficient in AWS S3 and data lake
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Knowledge of Snowflake
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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
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ELK Stack
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Cassandra / MongoDB
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CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

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About Telyport
Telyport is an emerging tech startup in the logistics space. We are building a robust hyperlocal distribution network that is affordable, convenient, and reliable for locals, SMEs, and large enterprises with a vision to bring local commerce online.
You can share your CV to victor @ telyport dot com
Job Description
We are looking for a seasoned full-stack engineer (Python, MongoDB and Angular/React or similar JS Framework) to build out and manage our entire web infrastructure. Successful candidates will have a minimum of three years’ recent experience with all of the skills listed below.
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If interested pls send your resumes.
-A Warm Welcome to SVAPPS Interview.
This is a Good Opportunity for You the People in Warangal.
-To make this Process Easier for All,
Please Refer Your Friends is Anyone Having Good Knowledge Self-Reliant, able to Work Independently and Accept Responsibility for Projects
Very Good Communication Skills and Interpersonal Skills
EXPERIENCE - 1 - 4Years
Job Location -Warangal.
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