Data Engineer

Hadoop, MapReduce, Spark, Kaa, Java, Python
Full Time
Depends on Experience

Job Description

About:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Job Description:

Infostretch is looking for a Data Engineer responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data ow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational eciency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Data Engineer

You would be considered a great t for this role if you have the following:

  • 5+ years of experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kaa, Flink etc) for building ecient, large-scale ‘big data’ pipelines.
  • Strong Software Engineering experience with prociency in at least one of the following programming languages: Java, Python, Scala or equivalent.
  • Implement data ingestion pipelines both real time and batch using best practices.
  • Experience with building stream-processing applications using Apache Flink, Kaa Streams or others.
  • Experience with Cloud Computing platforms like Amazon AWS, Google Cloud etc.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Ability to work in a Linux environment.

These qualications would make you stand out among other applicants:

  • Experience in building distributed, high-volume data services.
  • Experience with big data processing and analytics stack in AWS: EMR, S3, EC2, Athena, Kinesis, Lambda, Quicksight etc.
  • Knowledge of data science tools and their integration with data lakes.
  • Experience in container technologies like Docker/Kubernetes

Education Qualification:

  • B.S .in computer science, software engineering, computer engineering, electrical engineering, or related area of study.

Why join Infostretch Corporation?

An excellent salary and bonus package are just the start with an Infostretch career. We also provide medical, dental, vision, 401k with company match, company paid life insurance, paid time off, paid holidays, tuition reimbursement, gym reimbursement is standard here. Add to that annual performance evaluations, company parties and family picnics and you ve got a career that continually rewards your effort. There s nothing more important to our success than our employees and we prove it every day.

This is a direct hire full-time position. If you feel that this is a good match for your skill-sets - please send a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE).

Dice Id : 10228528
Position Id : IS-SCC20210567
Originally Posted : 3 months ago
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