Senior Data Engineer

Broadridge Financial Solutions India Pvt Ltd

Bengaluru

On-site

INR 3,000,000 - 4,500,000

Full time

14 days+
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Job summary

Broadridge Financial Solutions India Pvt Ltd is seeking a Senior Member Technical in Bengaluru to lead data engineering efforts on cloud platforms. You will design and optimize data pipelines, implement ETL processes, and collaborate with cross-functional teams to deliver scalable data solutions.

The role requires strong Python and SQL skills, experience with AWS services (S3, Glue, Lambda), Snowflake, and data visualization tools.

Qualifications

  • 4-6 years of hands-on data engineering or related experience.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
  • Strong programming skills in Python and SQL.
  • Experience with cloud data platforms (AWS) such as S3, Glue, Lambda.
  • Expertise with Snowflake including data warehousing, tuning, and cost optimization.
  • Proficiency with ETL tools and API development.
  • Experience with data visualization tools (Tableau/Power BI/Looker).
  • Excellent problem-solving and collaboration across cross-functional teams.
  • Experience delivering in Agile Scrum environments.
  • Understanding of data security, privacy regulations, and compliance.
  • AWS or Snowflake certifications are a plus.

Skills

Python
SQL
Airflow
AWS (S3, Glue, Lambda)
Snowflake
ETL tools
Data visualization tools
Tableau/Power BI/Looker
Data security & compliance
Agile Scrum
Cross-functional collaboration

Education

Bachelor's or Master's in Computer Science/IT/Engineering

Tools

Airflow
Snowflake
Tableau
Power BI
Looker

Job description

Senior Member Technical At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.

  • 4-6 years of hands-on experience in data engineering or related roles, with specialized experience in data engineering tasks on cloud platforms.
  • Strong programming skills in Python, SQL, and one or more data pipeline orchestration tools (e.g., Apache Airflow).
  • Expertise in AWS services (e.g., S3, Glue, Lambda).
  • Extensive experience with Snowflake, including data warehousing, performance tuning, and cost optimization.
  • Proficiency in ETL tools, data integration, and API development.
  • Capable of adapting workflows and processes to enhance efficiency and meet evolving project requirements.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Exceptional problem-solving skills and ability to handle complex data challenges.
  • Excellent communication and collaboration skills, with experience working in cross-functional teams.
  • Demonstrated experience working within Agile Scrum frameworks to deliver iterative and incremental value.
  • Strong understanding of data security, privacy regulations, and compliance.
  • Certifications in AWS or Snowflake are a plus.

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work.

We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective.

Use of AI in Hiring

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws.

Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.

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