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Lead Data Engineer @ LatentView

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 Lead Data Engineer

Job Description

Role & responsibilities


  • Minimum 4 years of overall experience in data engineering and 2+ years leading a team as team lead and doing project management.
  • Experience working with a global team and remote clients.
  • Hands on experience in building data pipelines on various infrastructures.
  • Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines.
  • Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing.
  • Have strong experience in modern data platform components such as Spark, Python, etc.
  • Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift,Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization.
  • Experience in building data pipeline with AWS Glue, Azure Data Factory and Google Dataflow.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra /MongoDB.
  • Strong problem solving and communication skills.

Job Classification

Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: LatentView
Location(s): Bengaluru

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Keyskills:   Pyspark AWS Python SQL Airflow Glue Data Pipeline Snowflake Aws Glue

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