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Job Location: Gurgaon/Gurugram
Experience: 3 – 4.5 Years
Location: Gurugram
Work Model: Hybrid Work from Office
Preferred candidates who can join as soon as possible (15-45 days)
Requisite Education and Experience / Minimum Qualifications:
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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