Support.com | Jobs | Lead Data Engineer | BigDataKB.com | 06-02-22

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Job Location: Remote

About Us

Support.com, Inc. (NASDAQ: GREE) is a leading provider of customer and technical support solutions delivered by home-based employees. For more than twenty years, the company has achieved stellar results for global enterprise clients and top-tier businesses. Support.com’s proven, omnichannel solutions have been specifically designed and optimized for the homesourcing environment, resulting in industry-leading NPS scores and first call resolution rates. The company efficiently meets changing client needs through its highly-scalable, global network of home-based employees and secure, proprietary, cloud-based platforms.


Why Join Us

  • No travel, work from the comfort of your home, permanently!
  • If you need a place to work, have fun and learn. Support.com is for you
  • Competitive benefits and compensation

Responsibilities (Including, but not limited to)

What you will be doing

  • Work closely with business partners to understand objectives, KPIs, & opportunities for improvement.
  • Architect the database and data warehouse schema/table designing (Databricks/Redshift/snowflake/denormalized structure) for performance, reliability and scalability
  • Work with product/system owners and business owners to understand raw data from source systems and determine how to map and model it into the data warehouse
  • Spec end to end solutions across data integration/pipeline and data warehouse architecture
  • Translate insights into actionable recommendations on how to improve business performance
  • Explore various systems & data sources to map and define relations
  • Build data processing workflows & ER Diagrams (using tools like lucid charts, or draw.io)
  • Design, develop, and re-engineer database objects and processes
  • Write advanced PL/SQL to transform data near-real-time
  • Approach problems with systematic rigor & present solutions objectively
  • Take agile development approach and build solutions at a rapid pace demanded by customers
  • Partner with other development teams to build advanced analytics tools
  • Work with SQL, Python & visualization tools.
  • Continuously learn new techniques & tools
  • Approach problems with scientific rigor & present findings objectively

Minimum Qualifications & Requirement

What you need for the job

  • Bachelors / Masters degree in a technical/quantitative subject such as Mathematics, Computer Science, Economics, etc.
  • 8 – 10 years experience with data analytics, BI, reporting, data science, or equivalent field
  • Highly proficient with Python and PL/SQL (both DML and DDL)
  • Hands on experience on AWS S3, Redshift, Redshift Spectrum and Airflow
  • Expert in Data Architecture (Large scale Data Modelling and Data Governance)
  • Hands on ETL/ELT/Data Modelling/Data Warehouse Design & Development exposure is a must
  • Expert on one of Database Stacks โ€“ Databricks, Postgres, MSSQL, Redshift
  • Proven track record in Technical delivery on Global Enterprise applications
  • Excellent communication skills to coordinate with business stakeholders and technical teams
  • Ability to mentor and guide junior team members and participate in Learning and Development activities for team
  • Self-motivated & insatiable learner with a passion for driving business results with data
  • Perform other duties as assigned

Bonus points for these!

  • Excellent understanding of the full SDLC lifecycle including both waterfall, agile and DevOps
  • methodologies
  • Strong math/statistics skillset (hypothesis testing, probability, linear algebra, ML models)
  • Familiarity with Snowflake
  • Familiarity with Tableau is an added bonus
  • Experience with cloud services (AWS, Azure, Google Cloud)
  • Desire to work on a fast-paced, agile team
  • Experience with Big Data, Data Analytics Programs

About the Role

Why work with us

  • Use cutting edge data stack built on AWS Redshift, Spectrum, Databricks, S3, Apache Spark, Airflow, PostgreSQL, tableau and Python.
  • We love collaborative, agile software development, iterative design and testing. We form tight teams, build rapid prototypes and release frequently. You wonโ€™t get bored!
  • We encourage learning and integration of new technologies. If you’re passionate about technology, we’d love to hear your story.

About You:

  • You are an intellectually curious, dedicated & mission-driven Lead Data Backend Engineer who will help our customers leverage data to improve performance. You have a unique combination of business acumen, analytical savvy, statistical/math knowledge, & data storytelling ability to transform data into valuable decisions.

Experience and Skills

What you need for the job

  • Bachelors / Masters degree in a technical/quantitative subject such as Mathematics, Computer Science, Economics, etc.
  • 8 – 10 years experience with data analytics, BI, reporting, data science, or equivalent field
  • Highly proficient with Python and PL/SQL (both DML and DDL)
  • Hands on experience on AWS S3, Redshift, Redshift Spectrum and Airflow
  • Expert in Data Architecture (Large scale Data Modelling and Data Governance)
  • Hands on ETL/ELT/Data Modelling/Data Warehouse Design & Development exposure is a must
  • Expert on one of Database Stacks โ€“ Databricks, Postgres, MSSQL, Redshift
  • Proven track record in Technical delivery on Global Enterprise applications
  • Excellent communication skills to coordinate with business stakeholders and technical teams
  • Ability to mentor and guide junior team members and participate in Learning and Development activities for team
  • Self-motivated & insatiable learner with a passion for driving business results with data
  • Perform other duties as assigned

Bonus points for these!

  • Excellent understanding of the full SDLC lifecycle including both waterfall, agile and DevOps
  • methodologies
  • Strong math/statistics skillset (hypothesis testing, probability, linear algebra, ML models)
  • Familiarity with Snowflake
  • Familiarity with Tableau is an added bonus
  • Experience with cloud services (AWS, Azure, Google Cloud)
  • Desire to work on a fast-paced, agile team
  • Experience with Big Data, Data Analytics Programs

Apply Here

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