Offer summary

Qualifications:

B.E/B. TECH/Any Graduation Equivalent, Proficiency in programming languages like Python or SQL, Expertise in relational database systems such as MySQL or PostgreSQL, Knowledge of ETL processes using tools like Azure Data Factory..

Key responsibilities:

Develop and maintain data pipelines to collect, transform, and distribute data.

Create efficient database designs for optimal performance.

Utilize Azure Data Factory to automate data movement and transformation processes.

Collaborate with stakeholders to understand requirements and deliver effective solutions.

Job description

expertise in data, technology, and AI.

Inviting applications for the role of Senior Associate- Data Engineer with SQL

In this role, Develop and Maintain Data Pipelines, Design, implement, and optimize robust pipelines to collect, transform, and distribute data across the organization.

Responsibilities

Develop and Maintain Data Pipelines\: Design, implement, and optimize robust pipelines to collect, transform, and distribute data across the organization.

Data Modeling\: Create efficient database designs that ensure optimal performance for various applications.

Azure Data Factory (ADF)\: Utilize ADF to orchestrate and automate data movement and transformation processes.

Backend Integration with Power Apps\: Connect backend systems with Power Apps to enable seamless access to data for end-users.

Ensure Data Integrity\: Monitor and maintain data accuracy, quality, security in compliance with organizational standards.

Collaborate with Stakeholders\: Work closely with business analysts, data scientists, and other stakeholders to understand requirements and deliver effective solutions.

Qualifications we seek in you!

Minimum Qualifications / Skills

B.E/B. TECH/Any Graduation Equivalent

Preferred Qualifications/ Skills

Proficiency in programming languages like Python or SQL.

Expertise in relational database systems such as MySQL or PostgreSQL.

Knowledge of ETL processes using tools like Azure Data Factory.

Familiarity with big data technologies such as Hadoop or Spark.

Experience with cloud platforms like Microsoft Azure.

Certification in data engineering or cloud technologies (e.g., Google Cloud Professional Data Engineer).

Experience with data visualization tools such as Tableau or Power BI

The approximate annual base compensation range for this position is $45,000 to $56,500. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity

· Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role”

· Location-based Roles (e.g., Richardson roles – metro area can be adjusted by role location) – “Los Angeles, California based candidates are not eligible for this role. <Dallas Metro> area candidates are eligible for this role only.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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