GCP Data Engineer

4 weeks ago


india EXL Full time

Position – GCP Data Engineer – Senior

Work Location – Hybrid – all EXL locations. Will involve relocation for selected outstation candidates.

Experience - 5 to 8 Years

Must Have:


  • 5+ years of proven experience in Big Data Engineering .
  • Mandatory Technical Proficiency - Hands-on experience with Python , PySpark , Google Cloud Full Stack , SQL, Could run (Docker), DevOps , Databricks , DBT & Terraform .
  • Experience with Google Cloud Services such as Streaming +Batch, Cloud Storage, Cloud Dataflow, Data Proc, Big Query & Big Table
  • Proven real-time exposure and use of contemporary data mining, cloud computing, and data management ecosystems like Google Cloud, Pub/Sub, Cloud Shell, Hadoop, HDFS, and Spark.
  • Proficient in Data Modelling that can represent complex data structures while ensuring accuracy, consistency, and efficiency; data warehousing , and ETL processes .
  • Ability to perform system analysis and assessment of existing Systems Design and operating methodologies leveraging in-depth knowledge of big data technologies and ecosystems.
  • Experience with GitHub, Anaplan, Looker & Power BI,
  • Excellent problem-solving skills and the ability to address complex technical challenges.
  • Strong communication skills.


Good To Have:


  • Experience with Apigee, Apollo GraphQL.
  • Experience with Quality Assurance, Agile , Documentation & Presentation.
  • Experience with serverless Data warehousing concepts,
  • Knowledge of Snowflake , ML - Machine Learning, Gen AI (LLMs), Marketing activation.


Role & Responsibilities:


  • Data ingestion & cleansing from sources systems (files, DBs, APIs)
  • Harmonize, integrate, and centralize data to BigQuery , Data warehouse
  • Calculations, derivations, and aggregations in BigQuery , Data mart
  • Integrate with Master Data Services , automate data quality rules
  • Data exposition (API ) with data-as-a-service
  • Automate deployments and facilitate MTQ/MTP through CI-CD/DevOps
  • Conduct code reviews, automate regression tests, facilitate data reloads
  • To be upskilled if not qualify: DBT , Terraform , Databricks
  • Streamline workflows and orchestrate Data pipelines
  • Conduct code reviews, automate regression tests, and facilitate data reloads.
  • Participate in requirements gathering and architectural discussions.
  • Responsible for the Overall Quality of Engineering builds.
  • Programming Hands-on: Develop and maintain software components using Python , PySpark , and GCP services to process and analyze large datasets efficiently. Build data pipelines and perform data transformations.
  • Enforce consistent standards and quality through end-to-end review of all artifacts (incl. BRD, HLD, LLD, Data Models, STTMs, UI-UX, NFRs, Code, Test, PBI architecture design)
  • POC and Pilot of new reusable frameworks, tools & technologies.
  • Evaluate the newest technologies for optimization opportunities and future enhancement needs like self-serve and ad hoc reporting. Implement necessary infrastructure for optimal and efficient ETL from disparate data.
  • Performance Optimization : Identify and address performance bottlenecks, ensuring the system meets required throughput and latency targets.
  • Security and Compliance : Ensure data solutions adhere to security and compliance standards, implementing necessary controls and encryption mechanisms.
  • Documentation : Create and maintain comprehensive technical documentation to support the development and maintenance of data solutions.

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