Decision Point

Senior Data Engineer

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Gurgaon/Gurugram, Chennai
  • Experience: 2-7yrs
  • No. of Positions: 10
  • Salary Range: 2-8.4 lac
  • Primary Skills: ETL Python SQL Data Engineering Data Management
  • Secondary Skills: Data Analysis Data Analytics Skills highlighted with ‘‘ are preferred keyskills
  • Job Location: Gurgaon/Gurugram, Chennai
  • Posted Date: 389 days ago
Job Description

Roles and Responsibilities

 

The Person will work as a Senior Data Engineer in Data Engineering team of Decision Point, Translating business and functional user requirements into functioning solutions. The incumbent for the position is expected to deliver but not limited to on following responsibilities:

 

  • Set up processes for data management, templatized analytical modules/deliverables. Continuously improve processes with focus on automation and partner with different teams to develop system capability.
  • Proactively seek opportunities to help team members by sharing knowledge and expanding skills.
  • Ability to communicate difficult/sensitive information tactfully.
  • Coordinating with cross-discipline team members to make sure that all parties are on track with project requirements, deadlines, and schedules.



An ideal candidate will be/have

 

  • Excellent analytical skills and is a problem solver.
  • Self-motivated, disciplined with can do attitude.
  • Good experience in computer programming languages such as: Python, Advance SQL and experience working with Python (related to data analysis) & relational databases, as well as working familiarity with a variety of databases.
  • Knowledge of Big data tools (Athena, Hive, Spark), ETL tools and cloud platforms will be added advantage. Certification in cloud platforms like Azure, AWS, Google will be considered a very good asset.
  • Excellent problem-solving and troubleshooting ability with experience of supporting and working with cross functional teams in a dynamic environment.
  • Strong verbal and written communication skills with ability to communicate effectively, articulate results and issues to internal and client team.

 

Key reasons to Join Decision Point

 

  • Cross functional exposure: We assign a complete dedicated team to a project which includes Data scientist, Business Analyst, Development Team, Data engineers etc. This gives you an exposure of interacting with cross functional teams.
  • Challenging projects: When you work at Decision Point, you are guaranteed to work on some of largest and most challenging problems in the world. This entails some intense critical thinking and hard work but also a rewarding experience.
  • Multiple technology tools exposure Working at Decision Point can offer you an opportunity to explore various technologies and types of problems in a structured way. This provides you an opportunity to explore multi-cloud experience, cutting edge technologies etc. Over the time, you can develop a specialty that makes you a valued expert in a field.
  • Direct client interaction with Top Notch clients: Decision Point enjoys a stellar record with top global FMCG/CPG brands. Working with the best clients results not only in interesting work but also exposure across industries of leading executives. You will also get to witness the impact of implementing of your recommendations/strategies as you will be working very closely with clients on day-today basis
  • Well planned multi-functional career path: DP provides you to choose your own career path; We have Fast-track career path for people who love challenges, are ambitious and wants to push their limits. This means high reward, challenging role where candidate can get promoted every year with handsome raises e.g., Data Engineer, Data Pipeline, ML Engineering, MLOps etc.
  • Variety of Projects: DP is working on the different ML & BI projects which ranges from demand forecasting to promo analytics to marketing analytics, etc. Your learning curve will be steep, but it will be one of the best in the industry



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