Senior Data Engineering Team Lead

3 weeks ago


Bengaluru, Karnataka, India Q2 Full time
Overview

We are seeking a highly experienced and skilled Senior Data Engineering Team Lead to join our team at Q2. This role will play a crucial part in designing, developing, and maintaining scalable data solutions that enable our company to extract insights, make data-driven decisions, and deliver exceptional value to our customers.

Salary Range

$175,000 - $225,000 per year, depending on location and experience.

Job Description

The Senior Data Engineering Team Lead will be responsible for providing leadership, guidance, and mentorship to a team of data engineers. They will foster a collaborative and inclusive team culture that encourages innovation, learning, and growth. The ideal candidate will have a strong background in data engineering, leadership experience, and a passion for driving technical excellence.

Responsibilities:
  • Provide leadership, guidance, and mentorship to a team of data engineers.
  • Foster a collaborative and inclusive team culture that encourages innovation, learning, and growth.
  • Set clear goals, expectations, and priorities for the team, and ensure alignment with company objectives.
  • Conduct regular performance reviews, provide constructive feedback, and support career development opportunities for team members.
  • Collaborate with cross-functional teams to define data engineering requirements and priorities.
  • Develop and execute a strategic roadmap for data engineering initiatives, aligning with business objectives and technological advancements.
  • Stay abreast of emerging technologies, industry trends, and best practices in data engineering, and evaluate their potential impact on our business.
Technical Skills:
  • Proficiency in programming languages such as Python, Java, or Go.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with data tools such as Apache Airflow, dbt, Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker.
  • Experience with databases such as Snowflake, SQL Server, PostgreSQL.
  • Containerization experience using Kubernetes and Docker.
Benefits

We offer a comprehensive benefits package, including hybrid work opportunities, flexible time off, career development and mentoring programs, health and wellness benefits, community volunteering and company philanthropy programs, and employee peer recognition programs.

How We Give Back to the Community

We are committed to giving back to the community through our Q2 Spark Program, Q2 Philanthropy fund, and employee volunteering programs. We support organizations that promote diversity and success in leadership and technology, as well as those that help LGBTQ communities, veterans, and others in need.



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