Data Engineer 3.5+y

Found in: Whatjobs IN C2 - 2 weeks ago

Bengaluru, India Alsvid Full time
Data Engineer - 3.5 +y

Skills - AWS , Python ,Snowflake , Kafka

Bengaluru

Shifts Working

Job Functions / ResponsibilitiesBuild and document automated data pipelines from a wide range of data sources with an emphasis on automation and scaleDevelop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stackEnsure product and technical features are delivered to spec and on-time in a DevOps fashionContribute to overall architecture, framework, and design patterns to store and process high data volumesDevelop solutions to measure, improve, and monitor data quality based on business requirementsDesign and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodologyProactively support product health by building solutions that are automated, scalable, and sustainable – be relentlessly focused on minimizing defects and technical debtProvide post-implementation production support for data pipelinesQualificationsBachelors' degree in Computer Science, Informatics, or a related field requiredMasters’ degree in Computer Science preferred3+ years of experience in a data engineering role2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake)Hands-on experience with ETL tools and techniques (Desirable)Basic proficiency with a dialect of ANSI SQL, APIs, and PythonKnowledge of and experience with RDBMS platforms, such as MS SQL Server, MySQL, NoSQL, PostgresExperience with participating in time sensitive projects in a highly collaborative, multi-disciplinary team environmentExperience with Kafka is beneficial but not requiredExperience with streaming data preferredEducationBachelor's degree in Computer Science, Informatics, Business Administration or related field requiredMaster’s Degree in Computer Science, Business Administration or related field preferred

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