Senior Data Analyst - Python , AWS , SQL - Gurgaon / Noida / Pune / Bangalore – 3+ Years
Location: - Gurgaon / Noida / Pune / Bangalore
Our client is looking for someone who are strong in Data Engineer – Python + SQL. One should have experience in Data Engineer with Python + SQL.
Your Future Employer: - A global Leader in analytics in artificial intelligence, headquartered in New York, present across 16 global locations.
Leverage Enterprise AWS data lake
Follow CDO data architecture blueprints
Utilize Redshift cloud database and CloudFront
Use a data governance & management tools and policy from CDO
Integrate with Power BI reporting for enhanced analytics
Expert Knowledge and experience in Python (3.X preferred – Pandas, Numpy)
Knowledge of Database design concepts, database maintenance, data cleaning , ETL concept and data validation
Good Experience with SQL server database
Should be proficient in writing complex SQL queries & optimize the existing ones
Strong verbal and written communication, interpersonal and collaborative skills
Bachelor's degree or equivalent relevant experience
What is in it for you: -
A stimulating work environment with equal employment opportunity.
Work in a fast-paced environment in a established brand.
Grow in a culture focused on training and mentoring.
Reach us: -
If this role is aligned with your career, kindly write me an email along with your updated resume at email@example.com for a confidential discussion on the role.
Crescendo Global in 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.
We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profiles has not been shortlisted in case you don’t hear back for us in 1 week. Your patience is highly appreciated.
Data Analytics , Data Engineer , Data Analyst, Python , SQL , AWS , Azure.