Data Engineer

Bengaluru   |   Full Time

What are we looking for:

  • 2+ years of development experience in at least one of MySQL, Oracle, PostgreSQL or MSSQL and with Big Data frameworks / platforms / data stores like Apache Drill, Arrow, Hadoop, HDFS, Spark, MapR etc
  • Strong experience setting up data warehouses, data modeling, data wrangling and dataflow architecture on the cloud
  • Strong experience in 3+ experience with public cloud services such as AWS, Azure, or GCP and languages like Java/ Python etc
  • 2+ years of development experience in Amazon Redshift, Google Bigquery or Azure data warehouse platforms preferred
  • Knowledge of statistical analysis tools like R, SAS etc
  • Familiarity with any data visualization software
  • A growth mindset and passionate about building things from the ground up and most importantly, you should be fun to work with

As a data engineer at Recko, you will:

  • 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 systems.

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