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SalaryAs Per Industry StandardsLocationMumbaiJob Description
Data Engineer Job Responsibilities:
· Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
· Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
· Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
· Works closely with a team of frontend and backend engineers, product managers, and analysts.
· Designs data integrations and data quality framework.
· Designs and evaluates open source and vendor tools for data lineage.
Data Engineer Qualifications / Skills:
· Relevant experience range: 1 to 4 years of experience in Data Engineering
· Technologies – PySpark, Nifi, Airflow, NoSQL, Hive, Presto, Parquet/ORC/Avro, AWS EMR
· Cloud Skills : AWS / Azure / GCP , Cloud services
· Coding Language : Python , Scala
· Others : SQL, Data WareHouse, Data Lake
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