1713323 - Big Data Engineer (Dorchester)


: $91,060.00 - $134,310.00 /year *

Employment Type

: Full-Time


: Information Technology

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    We are looking for an experienced, brilliant and technical Big DataEngineer to design, implement, and support data ingestion and consumption pipelines for enterprise-scale data sets, using Big data tools such as Snowflake, Redshift, Hive, Pig, Spark, and Kafka. If you are up for the challenge, keep reading!

  • Design and implement data integration strategies using ETL and ELT.
  • Establish frameworks for quickly rolling out new data analysis for standalone data-driven products and micro-services
  • Creating machine learning infrastructure that operationalizes data science models for broad consumption
  • Partner end-to-end with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production
  • Demonstrate a deep knowledge of, and ability to operationalize, leading data technologies and best practices
  • Experience in writing data pipelines in AWS environment
  • Expert in design, coding and scripting in Bigdata technologies like Hive / Impala / Oozie, in cloud Data Warehouses like Redshift/Snowflake
  • Experience with Amazon Kinesis, AWS Lambda, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Workflow Service (Amazon SWF), experience with Web Services, API Gateways and application integration development and design, experience with data integration tools and technologies like Talend, Informatica, Rivery, Stitchdata, Alooma, Striim etc.
  • Must have experience with Unix/Linux systems with scripting experience, building data pipelines and fit for purpose data stores, andin open source programming languages for large scale data
  • Competitive base salaries!
  • 401k plans with company match we want to empower you to further your career, and prepare for retirement!
  • Comprehensive Medical, Dental, and Vision insurance plans
  • Tax-free Flexible Spending Account
  • Life insurance, short-term, and long-term disability
  • Paid holidays, plus 19 days of accrued PTO for a total of 28 paid days off per year!
  • Free snacks, drinks and coffee!
  • Plenty of employee engagement activities including sporting events, happy hours, and other fun team-building activities
  • Opportunities to join our community service initiatives, including Habitat for Humanity
  • Employee Discounts on movie tickets, Verizon cell service, Microsoft products, and more!
  • we valuediversity, andare proud to be an equal opportunity workplace. We do not discriminate race, religion, color, , sexual orientation, age, marital status, veteran status, or disability status
    Associated topics: data analytic, data manager, data management, data quality, data scientist, data warehouse, data warehousing, erp, hbase, sql * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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