Associate Lead

2 weeks ago

bangalore, India Herman Miller Furniture (India) Pvt. Ltd. Full time

Description

We are looking to hire a Associate Lead - Data Engineering, with excellent technical and communication skills, to effectively designing, developing, and validating data pipelines using cloud technologies while collaborating with IT and business stakeholders to understand their needs and develop functionality and enhancements. Associate Lead - Data Engineering in his/her day-to-day operations, will monitor production data pipelines to ensure timely and successful execution. 70% of time is expected to be spent as an Individual Contributor with above mentioned experience.

Rest 30% of time is expected to be spent as an Associate Team Lead. The Associate Lead will perform other duties as assigned, that are in line with the role’s responsibilities and are required for the business. Along with technical expertise, this role involves the following people management responsibilities:
 

Regular team connects and one-one meetings with the team members. Regular interactions with Business Partners for Team management, feedback collection and to liaise on work delivery matters. Conducting performance reviews via Check-in conversations. HR policy compliance (leave and discipline) Conflict resolution Mentoring, coaching and development of team members as necessary. Participation in all recruitment activities of the team

This role transcends organizational and geographical boundaries as it aims at supporting and enabling the various divisions of the Herman Miller business across the globe. The ideal candidate should understand the software development lifecycle and use agile methodology to design, develop, test, and implement solutions that deliver on end-user needs.

Responsibilities

Translate stakeholder deliverables into the project methodology deliverables that result in design, such as functional specifications, use cases, workflow & process diagrams, data flow & data model diagrams. ETL design, development and support of data pipelines used for Analytics . Perform table and interface design, development of logical and physical data model/database and ETL processes while meeting business/user requirements. Design, develop, deploy, and validate extremely reliable, scalable, and high performing data pipelines. Ensure quality of the data and code using quality tools and frequent code reviews. Assist in the development of logical and physical data models for designing/developing Business Intelligence & Data Warehouse requirements. Ensure proper source code management of data pipelines, stored procedures, and database definitions. Provide accurate documentation of data pipelines. Disseminate tasks amongst team members and ensure timely/accurate completion as defined by the business. Coordinate prioritized work and help to mitigate any blockers for the team. Efficient communication of known issues/problems with team members as well as appropriate escalation to leadership. Lead and manage a team of Developers and/or Testers. Work assignment, distribution, task estimation, goal planning and conducting performance reviews as per company policy. Empowering team members with skills to improve their confidence, product knowledge, and communication skills.

Essential experience

Demonstrated experience in using a graphical ELT/ETL pipeline development . Experience with data analysis, data modeling and data warehousing is a must . Ability to troubleshoot technical and functional problems with intuitive problem-solving techniques with little supervision or direction. Experience in optimizing databases, understanding of referential integrity and the use of indexes. Possess an extremely sound understanding of columnar database. Strong SQL knowledge and experience writing queries and DML . Moderate knowledge of cloud-based tools and how to interact with them.

Ideal candidate

A graduate / post-graduate in computer science / technology / engineering or mathematics. Having excellent interpersonal and communication skills in English, both written and verbal. At least 10+ years of strong hands-on experience with Data Engineering expertise using ELT/ETL tools to meet business requirements for analytics/reporting. Strong experience on parameterization and process optimization. Experience using Tableau, Alteryx, Matillion, AWS, Python and Snowflake to develop robust data pipelines. Ability to work individually or within a team environment. Ability to participate in multiple projects & tasks and priorities in a healthy work environment. Has attention to detail and a penchant for quality. Proficient in documentation as well as process and workflow design. Command of version control methodologies, preferably with GIT / GITHub. Ability to take direction, constructive criticism, and work to specified deadlines. Adhere to process and procedures defined for the role, the team, and the organization. This role requires the individual to work in the extended UK shift (2 PM – 11 PM India time) and during critical issues, releases, updates, migration or other urgent business needs, there could be a requirement to work during US business hours (5:30 PM to 2:30 AM). Those aspiring to take on leadership responsibilities, should demonstrate a high level of emotional intelligence to be able to connect and work well with their direct reports, their peers and other stakeholders in the organization through empathy, motivation and partnership that leads to better results as a team. Ability to articulate thoughts, plans and decisions clearly, along with capabilities in planning and forecasting for the future will be attributes that are sought after for this position.

Herman Miller is an equal opportunity employer.

Who We Hire?


Simply put, we hire everyone. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We’re committed to equal opportunity employment, including veterans and people with disabilities.

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