Data Engineer

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Job Description

Job Title

Data Engineer

Department

Analytics

Location

Gurgaon

Job Category

Analytics

Position Type

Full-Time

Company Overview:

Saarthee – one of the fastest-growing Analytics firm is looking for driven analytics professionals to be a part of our hyper-growth Phase. We are an Analytics Consulting firm and our parent company is based in Philadelphia.

At Saarthee, we are driven by our core desire to partner with our clients- success by delivering data-driven actionable insights through accelerated analytics. Our diverse team of highly skilled Analysts and Consultants around the globe helps us execute the process of systematically analyzing data and finding patterns in a short turnaround time. Co-founded in 2015, Saarthee is already encompassing all the components of Data Analytics consulting.

We are looking for team members who can use data to tell a story, generate insights that drive multimillion-dollar decisions, want to work with a team who lives and breathes data, are excited with the growth prospects and want to drive the growth. The position is based out of Gurgaon, India. Candidates should be willing to travel overseas short term or long term.

Essential duties and responsibilities:

  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and analysts on several projects
  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Collaborate with engineering and product development teams
  • Develop models for optimization of marketing and sales spend
  • Drive growth by participating in Training, Recruitment and Business development

Required Skills and qualifications:

  • Bachelor’s in Engineering, Economics or Math with 1+ years of experience in the field of Analytics
  • Previous experience as a data engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Hands-on experience with SQL database design
  • Experience in data mining and Understanding of machine-learning and operations research
  • Analytical mind and business acumen
  • Great numerical and analytical skills
  • Excellent written and oral communication skills with the ability to clearly communicate ideas
  • Excellent problem solving and innovative skills
  • Positive attitude, enthusiasm toward work, and ability to work well with others
  • Should be a fast learner and a self- starter, open to learning new tools
  • Positive attitude, enthusiasm toward work, and ability to work well with a team

What we offer

  • Competitive compensation packages that reward high performance
  • Fast track career with supportive culture that facilitates 360 degrees learning
  • Collaborative team-based environment with mentorship from the Industry leaders
  • Comprehensive benefit package including Health Insurance and Term Insurance
About us

We are one of the fastest-growing Analytics firms driven by our core desire to partner with our clients success by delivering data-driven actionable insights through accelerated analytics. We are ranked among top 1000 in Inc 5000 2020 list of the fastest growing private companies in America. We are also on Philly top 100 list ranking at 25. Our diverse team of highly skilled consultants around the globe helps us execute the process of systematically analyzing data and finding patterns in a short turnaround time. We provide strategic guidance, business and technology solutions for clients wishing to solve their most complex challenges involving data analytics, cloud applications, big data, data discovery, and data protection.