Decision Point - Lead Data Engineer

About Us :
 
- Decision Point is a fast-growing Consumer Products Analytics & Consulting Company, with business partners featuring in global fortune 500 list. We specialize in applying math to solve complex business problems in CPG space.

- DP assures you to provide a 360degree learning platform which will be steepest in the industry, you will develop in-depth know-how of CPG/FMCG business, learn the application of analytics and big data technologies and traits of management consulting.

- Decision Point offers an entrepreneurial environment and exposure to advanced analytics in the domain of sales and marketing. The team at Decision Point is very young, energetic and highly skilled. Our team consists of talented business consultants, data scientists and engineers who are passionate about implementing analytics in real world business problems.

- A career at Decision Point is rich in experience and offers opportunities to build lasting relationships.

What You'll Do :

- You will lead and manage a large and rapidly growing data engineering team working on multiple project with multiple clients, and be responsible for the delivery of project and team goals.

- Play big data architect role and design solution frameworks to translate business requirements to scalable data models.

- Build & support data ingestion and processing pipelines. This will entail extract, load and transform of data from a wide variety of sources using latest data frameworks and technologies.

- Design, build, test, and maintain machine learning infrastructure and frameworks to empower data scientists to rapidly iterate on model development.

- Own and lead client engagement and communication on technical projects. Define project scopes and track project progress and delivery.

- Lead team capability building and recruitment. Foster inter and intra team collaboration between members.

- Coach and mentor other team members. Play a role in their development and retention.

- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume.

- Partner with software engineering teams to drive completion of multi functional projects.

What we are looking for :

- Minimum 6 years of overall experience in data engineering and 2+ years leading a team as Engineering Manager and doing project and people management (performance appraisals, career development) for the engineers in the team.

- Experience working with a global team and remote clients.

- Hands on experience in building data pipelines on various infrastructures.

- Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines.

- Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts.

- Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing.

- Have strong experience in in modern data platform components such as Spark, Python, etc.

- Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization.

- Experience in building data pipeline with AWS Glue, Azure Data Factory and Google Dataflow.

- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.

- Strong problem solving and communication skills.