Amazon Web Services (AWS)Recko Inc. is looking for data engineers to join our kick-ass engineering team. We are looking for smart, dynamic individuals to connect all the pieces of the data ecosystem.
What are we looking for:
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3+ years of development experience in at least one of MySQL, Oracle, PostgreSQL or MSSQL and experience in working with Big Data technologies like Big Data frameworks/platforms/data stores like Hadoop, HDFS, Spark, Oozie, Hue, EMR, Scala, Hive, Glue, Kerberos etc.
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Strong experience setting up data warehouses, data modeling, data wrangling and dataflow architecture on the cloud
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2+ experience with public cloud services such as AWS, Azure, or GCP and languages like Java/ Python etc
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2+ years of development experience in Amazon Redshift, Google Bigquery or Azure data warehouse platforms preferred
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Knowledge of statistical analysis tools like R, SAS etc
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Familiarity with any data visualization software
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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:
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Create and maintain optimal data pipeline architecture,
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Assemble large, complex data sets that meet functional / non-functional business requirements.
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Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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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.
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Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
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Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
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Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
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Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
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Work with data and analytics experts to strive for greater functionality in our data systems.
About Recko:
Recko was founded in 2017 to organise the world’s transactional information and provide intelligent applications to finance and product teams to make sense of the vast amount of data available. With the proliferation of digital transactions over the past two decades, Enterprises, Banks and Financial institutions are finding it difficult to keep a track on the money flowing across their systems. With the Recko Platform, businesses can build, integrate and adapt innovative and complex financial use cases within the organization and across external payment ecosystems with agility, confidence and at scale. . Today, customer-obsessed brands such as Deliveroo, Meesho, Grofers, Dunzo, Acommerce, etc use Recko so their finance teams can optimize resources with automation and prioritize growth over repetitive and time-consuming tasks around day-to-day operations.
Recko is a Series A funded startup, backed by marquee investors like Vertex Ventures, Prime Venture Partners and Locus Ventures. Traditionally enterprise software is always built around functionality. We believe software is an extension of one’s capability, and it should be delightful and fun to use.
Working at Recko:
We believe that great companies are built by amazing people. At Recko, We are a group of young Engineers, Product Managers, Analysts and Business folks who are on a mission to bring consumer tech DNA to enterprise fintech applications. The current team at Recko is 60+ members strong with stellar experience across fintech, e-commerce, digital domains at companies like Flipkart, PhonePe, Ola Money, Belong, Razorpay, Grofers, Jio, Oracle etc. We are growing aggressively across verticals.
Subodh Popalwar
Software Engineer, Memorres
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Software Engineer, Memorres