Ford | Jobs | GCP anchor/data engineer/architect(Ford-Chennai) | BigDataKB.com | 31-01-22

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Job Location: Chennai

Key Responsibilities :

โ€ข Build, operationalize, secure, and monitor data processing systems
โ€ข Support the development of logical and physical data models in Data warehousing
โ€ข Build reliable data pipelines that clean, transform, and aggregate data from multiple systems/ sources
โ€ข Understand Architecture and build Streaming ETL and Batch ETL pipelines, following best practices, optimizing queries, pipelines as per the needs
โ€ข Work closely with Product Owner and business process owners to translate business requirements into technical solutions
โ€ข Build datamarts to cater the needs of Business Intelligence & Reporting and Data Science team.
โ€ข Automate manual processes to optimize data delivery
โ€ข Use agile software development processes to iteratively make improve deliverables
โ€ข Identify internal process improvements and implement them
Ensure accuracy and quality of data movement across ETL pipelines in production environment
Qualifications Hold the control key to add multiple qualifications :
โ€ข B.E.
โ€ข B.Tech.
โ€ข MCA
Certifications :
Google Cloud Platform, Data Engineering
No. of years of experience :
3 to 5 years
Area of professional exposure (functional/technical skills) :
โ€ข Bachelor’s degree and/or Masterโ€™s degree in Computer Science/Information Technology or related technical field
โ€ข 4+ years of industry experience in data ingestion, ETL, data warehousing
โ€ข Solid experience on building streaming ETL pipelines (Kafka/Spark)
โ€ข 2+ years of experience in GCP environment: Kafka/Spark, GCP pub/sub, Dataflow, BigQuery
โ€ข Should have sound experience / knowledge on SQL Query optimization & performance tuning
โ€ข Hands on experience in programming languages like Java/Scala/Python, Shell Scripting
โ€ข Databases: SQL Server, PostgreSQL, MySQL (one or more required)
โ€ข Exposure to Hadoop ecosystem
โ€ข Ability to handle semi-structured data (JSON, XML, etc.,)
Functional skills :
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

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