HomeData Science JobsAdidasIndiaMarketingPrivateLimited | Hiring | JR. DATA ENGINEER (3 – 4.5 YEARS) |...

AdidasIndiaMarketingPrivateLimited | Hiring | JR. DATA ENGINEER (3 – 4.5 YEARS) | BigDataKB.com | 08-04-2022

Job Location: Gurgaon/Gurugram

Experience: 3 – 4.5 Years

Location: Gurugram

Work Model: Hybrid Work from Office

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Preferred candidates who can join as soon as possible (15-45 days)

Requisite Education and Experience / Minimum Qualifications:

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Education & Professional experience

  • Bachelors degree, preferably in computer science (or the equivalent)
  • 1+ years hands-on experience in developing scalable Big Data applications or solutions on distributed platforms.

Hard skills

  • Experience in Amazon Web Services (AWS), including S3, EC2, EMR
  • Working knowledge working with Data warehousing tools, including Dynamo DB, SQL
  • Knowledge of Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Ansible
  • Working knowledge of Data platforms, including EMR, Data Bricks etc.
  • Experience of working with distributed technology tools, including Spark, Presto, Scala, Python, Databricks, Airflow, Hive, Pig, MapReduce
  • Working knowledge of big data real time streaming tools, including Spark, Kinesis, Kafka

Soft skills

  • Impeccable and to-the-point written and oral communication skills (English)
  • Comfortable in presenting complex topics to stakeholders
  • Proven team player who can collaborate across functions and organizations
  • High resilience and solution-oriented attitude

Key Responsibilities:

Data Engineering

  • Build data pipelines to support data science projects following data engineering best practices
  • Identify, design, and implement internal operational improvements: automating manual processes, optimizing data delivery, improving data quality, etc
  • Work with data scientists and analysts to productionize data pipelines and machine learning models, so that they can scale and accommodate various business requirements
  • Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Ensure information security standards are maintained at all time

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