Analytics and Data Engineer – SQL| Python| ETL, 6+ years, Gurgaon

Location: Gurgaon
Discipline: Data Engineering
Job type: Hybrid Jobs
Contact name: Harman Kaur

Contact email: harman.kaur@crescendogroup.in
Job ref: 40471
Published: 5 days ago

Analytics and Data Engineer – SQL| Python| ETL, 6+ years, Gurgaon

 

We are seeking an experienced Analytics & Data Engineering professional to join our team and spearhead data initiatives. As a key player in our organization, you will collaborate directly with client leadership to shape the vision and roadmap of their Data, Analytics & Insights team. If you are a data engineer with required skill set, then this opportunity is for you.

 

Location- Gurgaon (Hybrid)

 

Your Future Employer- Global Analytics and digital solutions company, headquartered in New York, serving industries including insurance, healthcare, banking and financial services, media, retail, and others.

 

Responsibilities-

  • Responsible for data engineering and Analytics projects for our retail client

  • Contributing to their growth strategy across business, customer, and marketing Analytics.

  • Developing and maintaining scalable and efficient data pipelines, addressing any issues or bottlenecks.

  • Engaging proactively with client to support their data-driven vision and business objectives.

  • Establish yourself as a trusted advisor in shaping business strategy based on data insights.

  • Mentoring and advising the team on best practices in data engineering and Analytics techniques.

  • Implementing robust data checks to ensure accuracy and integrity of data.

 

Requirements-

  • Bachelor’s degree in computer science, Information Technology, or related field.

  • 6+ years of experience in managing data engineering projects, with a proven track record of success.

  • Proficiency in SQL, data environments (e.g., Big Query, Google Analytics, Snowflake), and data transformation tools (Python).

  • Strong understanding of ETL data pipelines, including integration with APIs and databases.

  • Hands-on experience with Google Analytics tools and cloud-based Data Warehousing solutions (Snowflake and/or Google Cloud).

  • Familiarity with Cron job scheduler and Data Vault modeling is a plus.

  • Experience in collaborating with client's Google Analytics partner agencies.

  • Excellent communication and interpersonal skills

 

 What is in for you-

  • A stimulating working environment with equal employment opportunities.

  • Growing of skills while working with industry leaders and top brands.

  • A meritocratic culture with great career progression.

 

Reach us- If you feel that you are the right fit for the role please share your updated CV at harman.kaur@crescendogroup.in

 

Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Profile Keywords- Analytics Data, Engineering, Retail, SQL, Python, Big Query, Snowflake, Google Analytics, ETL, Data Warehousing