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HDFS Jobs in Ahmedabad

HDFS Jobs in Ahmedabad

Explore top HDFS Job opportunities in Ahmedabad from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
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Reputed firm providing worldclass consulting & implementatin

Agency job
via Jobdost by Saida Jabbar
Remote, Ahmedabad, Hyderabad, Pune, Delhi
5 - 10 yrs
₹25L - ₹30L / yr
Amazon Web Services (AWS)
AWS Lambda
PySpark
Data engineering
Big Data
+9 more

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

  • 5-7+ 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

 

Read more

Product and Service based company

Agency job
via Jobdost by Sathish Kumar
Hyderabad, Ahmedabad
4 - 8 yrs
₹15L - ₹30L / yr
Amazon Web Services (AWS)
Apache
Snow flake schema
Python
Spark
+13 more

Job 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.

  • 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, 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

  • 5-7+ 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

Read more
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