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Senior Data Engineer @ Datametica

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 Senior Data Engineer

Job Description

Job DescriptionKey Responsibilities

  • Attend requirements gathering workshops, design meetings, and status review meetings
  • Experience in Solution Design for the data engineer model to build and implement respective projects on-premises and on the cloud
  • To be able to benchmark systems, analyses system bottlenecks and propose solutions to eliminate them
  • Lead the development team, construct, test, maintain and run Sprints for the development and roll-out of functionalities
  • Data Analysis, Code Development experience, ideally in ETL (Ab-Initio, Informatica, DataStage, Teradata, Alteryx, etc.) and/or Big Data (Scala, Spark, Hive, Hadoop, Python/Java, PySpark) Data Warehousing
  • Able to help programmers and leadership (Architects / Technical Project Managers) in the design, planning, and governance of implementing projects of any kind

Qualifications

  • Bachelor's or Master's degree in Computer Science or related field
  • 5 plus years of hands-on experience in IT Software Development Industry
  • Strong problem-solving and analytical skills
  • Data Governance and Data  Modeling experience
  • Implement and deploy high-performance, custom applications at scale on Hadoop
  • Strong experience with designing, creating, and maintaining Scala-based applications
  • Strong experience over Hadoop ecosystem (Spark/Pyspark, Hive, Sqoop, ect.) based projects 
  • Extract Transform Load (ETL) expertise
  • Experience with cloud-based data warehousing, cloud data pipeline and data management
  • Translate complex functional and technical requirements into detailed design and development
  • Good to have hands-on experience in Cloud Native Programming
  • Experience GCP services like Big Query, Dataflow, Dataproc, Composer, Streaming, Pub-Sub, etc.
  • Good to have experience over other cloud services - Azure (Data Factory, Data Bricks, Synapse etc.) / AWS (EMR, Glue, Athena, Redshift etc.) / Snowflake
  • Proficient with agile/scrum
  • Experience in architecting and implementing large-scale data solutions is a plus
  • Knowledge of Hadoop, Teradata, Oracle, and other database systems is a plus
  • Knowledge of any one of the tools Ab-Initio / Informatica / DataStage / Teradata / Alteryx / etc., good to have multiple (more than one) ETL tools hands-on

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Datametica
Location(s): Pune

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Keyskills:   GCP Hadoop SQL Hive Spark

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Datametica

About Onix: Onix is a Google Cloud Premier Partner serving over 1,400 customers, including several of the worlds largest corporations, enabling them to effectively leverage Google Cloud Platform across industries and use cases. Onix specializes in Google Cloud Solutions such as Workload Migration...