Data Engineering Manager, 6sense

6sense

Location:

India, Bengaluru

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

We are looking for a talented Data Engineering Manager with over 8 years of experience in the field. The ideal candidate will have extensive expertise in big data technologies such as Apache Spark and Hadoop, and possess strong programming skills in Python. Experience with Scala is a plus. As an Engineering Manager, you will lead and mentor a team of data engineers, oversee the design and implementation of data systems, and collaborate with cross-functional teams to ensure that our data infrastructure meets the highest standards of performance and reliability.

Job Responsibility:

Lead, mentor and manage a team of data engineers, and tech leads
Build, hire and grow the team
Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions
Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies
Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop
Ensure data quality, consistency, and security across all data systems
Relentlessly pursue goals on data coverage, data freshness, data quality and key performance & SLA metrics
Have high technical competence and background with track record of individual technical accomplishments
Play the role of the architect for the team
Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption
Create clear career paths for team members and help them grow with regular coaching and mentoring
Perform regular performance evaluation and share and seek feedback
Stay up-to-date with industry trends and emerging technologies to drive innovation.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role
Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools
Proficiency in programming languages such as Python and Java
experience with Scala is a plus
Proven track record of designing and implementing scalable data systems and pipelines
Excellent leadership, communication, and interpersonal skills
Strong problem-solving and analytical abilities and a proactive approach to addressing challenges
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.

Nice to have:

Experience with Scala is a plus
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.

What we offer:

Health coverage
Paid parental leave
Generous paid time-off and holidays
Quarterly self-care days off
Stock options
Equipment and support for remote or onsite work
Learning and development initiatives including LinkedIn Learning
Quarterly wellness education sessions
ERG-hosted events.

Additional Information:

Job Posted:

March 26, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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