Senior Data Engineer

Senior Data Engineer

This job is no longer open

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

  • 4x Snowflake Partner of the Year (2020, 2021, 2022, 2023) 
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Fivetran, dbt, Sigma Award Winners)
  • 7x Best Places to Work 
  • Inc 5000 Fastest Growing US Companies (2020-2023)

Fueled by talented Data Scientists, Engineers, Analytics Experts and innovative thought leaders, phData is shaping the future of data. We're looking for Solutions Architects and Sr. Data Engineers to help customers gain tangible value from their data.

Our Senior Data Engineers working seamlessly across a variety of technical stacks Snowflake, AWS, Azure

  • Designing and implementing data solutions best-suited to deliver on our customer needs and use cases — from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
  • Providing thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration
  • Design and development custom data pipelines for data extraction using Java, Python, SQL and Spark. 

Required Experience: 

  • At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
  • Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
  • Programming expertise in Java, Python and/or Scala 
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations 
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
  • 4-year Bachelor's degree in Computer Science or a related field

Prefer any of the following: 

  • Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
  • Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
  • Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
  • Multiple data sources (e.g. queues, relational databases, files, search, API)
  • Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
  • Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
  • Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Why phData? We offer:

  • Medical Insurance for Self & Family
  • Medical Insurance for Parents
  • Term Life & Personal Accident
  • Wellness Allowance
  • Broadband Reimbursement
  • Professional Development Allowance
  • Reimbursement of Skill Upgrade Certifications
  • Certification Bonus

 

#LI-DNI

This job is no longer open
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