Nielsen

Data Engineer - LM

Bengaluru, India Remote Hybrid
Hadoop SQL Python Spark AWS PostgreSQL Oracle Shell Cassandra Java Scala Docker Elasticsearch
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Description

Responsibilities

  • Work closely with team leads and backend developers to design and develop functional, robust pipelines to support internal and customer needsWrite both unit and integration tests, and develop automation tools for daily tasksDevelop high quality, well documented, and efficient code Manage and optimize scalable pipelines in the cloudOptimize internal and external applications for performance and scalabilityDevelop automated tests to ensure business needs are met, and write unit, integration, or data quality testsCommunicate regularly with stakeholders, project managers, quality assurance teams, and other developers regarding progress on long-term technology roadmapRecommend systems solutions by comparing advantages and disadvantages of custom development and purchased alternatives

Key Skills

  • Domain Expertise2+ years of experience as a software/data engineer Bachelor’s degree in Computer Science, MIS, or EngineeringTechnical SkillsExperience in software development using programming languages & tools/services: Java or Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive,Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow, Cassandra & Elasticsearch.Must Have: Hadoop Eco System, Spark, Scala , Python, SQL/PLSQL / RDBMS, NoSQL, Shell ScriptingGood to Have: Java, Cassandra, ElasticSearch, Cloud Arch/ AWS ExpirienceExperience in big data processing tools/languages using Apache Spark Scala.Experience with orchestration tools: Apache Airflow or similar tools.Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML.Agile scrum experience in application development is required. Strong knowledge  in AWS S3, PostgreSQL or MySQL.Strong knowledge  in  AWS Compute: EC2, EMR, AWS Lambda.Strong knowledge in Gitlab /Bitbucket .AWS Certification is a plus"Big data" systems and analysisExperience with data warehouses or data lakes
  • Mindset and attributesStrong communication skills with ability to communicate complex technical concepts and align organization on decisionsSound problem-solving skills with the ability to quickly process complex information and present it clearly and simplyUtilizes team collaboration to create innovative solutions efficiently

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