Job
Description
Job Title:Data Engineer Experience5-7Years Location:Pune : Roles & Responsibilities: Create and maintain optimal data pipeline architecture Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvementsautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS ‘Big Data’ technologies Work with stakeholders including the Executive, Product, and program teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems Develops and maintains scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using HQL and 'Big Data' technologies Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Write unit/integration tests, contribute to engineering wiki, and document work Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Who You Are: You’re passionate about Data and building efficient data pipelines You have excellent listening skills and empathetic to others You believe in simple and elegant solutions and give paramount importance to quality You have a track record of building fast, reliable, and high-quality data pipelines Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results Must have skills: AData Engineerwith 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base. A Data Engineer who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Has experience using the following software/tools: Experience with big data tools:Hadoop, Spark, Kafka, Hive etc. Experience with relationalSQLandNoSQL databases, including Postgres and Cassandra Experience withdata pipelineandworkflow management tools Experience with AWS cloud services:EC2, EMR, RDS, Redshift Experience with object-oriented/object function scripting languages:Python, Java, Scala, etc. Experience withAirflow/Ozzie Experience inAWS/Spark/Python development Experience inGIT, JIRA, Jenkins, Shell scripting Familiar withAgile methodology,test-driven development, source control management and automated testing Build processes supporting data transformation, data structures, metadata, dependencies and workload management Experience supporting and working with cross-functional teams in a dynamic environment Nice to have skills: Experience with stream-processing systems:Storm, Spark-Streaming, etc. a plus Experience withSnowflake
