Data Engineer @ Impact Analytics

Data EngineerCreate an impact with a B2B SaaS product company and change the face of enterprise analytics TitleData Engineer - SQL/Python/ETL/Data PipelineEmployment Type and LocationFull-time Employment | Bangalore The impact that you will be makingWe are looking for a Data Engineer to join our data team to solve data-driven critical business problems The person in this role will be responsible for expanding and optimizing the existing end-to-end architecture including the data pipeline architectureThe Data Engineer will collaborate with software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture (consistency throughout ongoing projects) The right candidate should have hands-on experience in developing a hybrid set of data-pipelines depending on the business requirements What this role entail Develop, construct, test and maintain existing and new data-driven architectures Align architecture with business requirements and provide solutions which fits best to solve the business problems 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 Data acquisition from multiple sources across the organization Use programming language and tools efficiently to collate the data Identify ways to improve data reliability, efficiency, and quality Use data to discover tasks that can be automated Deliver updates to stakeholders based on analytics Set up practices on data reporting and continuous monitoring What lands you in this role Graduate or Postgraduate in Computer Science or in similar quantitative area (B Tech/BE or M Tech/ME in Computers, IT) 1+ years of relevant work experience as a Data Engineer or in a similar role Hands-on experience on different databases, python tools and ability to solve complex business problems using data Advanced SQL knowledge, Data-Modelling and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience in developing and optimizing ETL pipelines, big data data pipelines, and data-driven architectures Strong knowledge in programming using Python Shell Strong analytical skills related to working with different types of datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Experience supporting and working with cross-functional teams in a dynamic environment Strong knowledge of working with different OS Linux, Windows, etcIt would be advantageous, if the candidate also has experience of using the below mentioned software/tools: Experience with big data tools: Hadoop, Spark, Hive, etc Experience with relational SQL and NoSQL databases, including Postgres and Cassandra Experience with GCP cloud services: GCS, Big query, VMs Experience with object-oriented/object function scripting languages: Python What we offer An opportunity to be part of some of the best enterprise SaaS products to be built out of India Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions A flat, collegial work environment, with a work hard, play hard attitude A platform for rapid growth if you are willing to try new things without fear of failure Remuneration with best in class industry standards with generous health insurance cover About Impact Analytics Impact Analytics (Series D Funded ) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year s inputs to forecast and plan this year s business Powered by over one million machine learning models,