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Data Engineer-Python/Hadoop |Gurgaon|2+years

  • HuQuo
  • India, G...
  • 2 - 8 Yrs
  • 10 - 18 Lacs PA

Job Description

  • We are looking for a candidate with 2+ years of experience in a Data Engineer role for Mumbai location, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • Advanced SQL and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Strong analytic skills related to working with structured and unstructured datasets
  • Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Manipulating, processing and extracting value from large disconnected datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Big data tools like Hadoop, Spark, Kafka, etc.
  • Message queuing, stream processing, and highly scalable - big data- data stores
  • Building and optimizing - big data- data pipelines, architectures and data sets
  • Relational SQL and NoSQL databases, including Postgres and Cassandra
  • Development of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • AWS cloud services: EC2, EMR, RDS, Redshift
  • Stream-processing systems: Storm, Spark-Streaming, etc.
  • Object-oriented/object function scripting languages: Python, Scala, etc.
  • Visualization tools- Tableau, Power BI, Qlik etc.
  • We emphasize career development, providing our data engineers with constructive feedback and mentorship through their careers. Our goal is to help our people be successful professionals and grow with their teams.
  • Rapid enhancement of skills with constant exposure to new industries and projects
  • Diverse, dynamic and engaged data science environments
  • To influence project direction and make significant contributions
  • Opportunities to work closely with our industry and functional leads to elevate project delivery
  • Constructive mentorship and career progression options

Job Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS - big data technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Work with data and analytics experts to strive for greater functionality in our data system

Location

Gurgaon, Haryana, India