Decision Point - Head - Data Engineering

About the Company :

With a decade of experience and a truly global experience delivering A.I & advanced analytics solutions, we have served over 50+ clients, across North America, Latin America, Europe, Africa and Asia in CPG, Retail, Electronics and Healthcare sector.

We are one global team of data scientists, business consultants and tech savvy engineers who are passionate about extracting every ounce of value from data. We- ve built a firm equipped to solve business problems using cutting edge A.I technologies.

We care for our client's business as our own and help them make significant and lasting improvements to their performance by institutionalizing analytics in their decision-making process.

We cross boundaries and churn the sum-total of siloed information assets to uncover breakthrough insights which our clients act on.

Roles and Responsibilities :

- 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.

An ideal candidate will be/have :

- 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.

Key reasons to Join Decision Point :

Cross functional exposure: We assign a complete dedicated team to a project which includes Data scientist, Business Analyst, Development Team, Data engineers etc. This gives you an exposure of interacting with cross functional teams.

Challenging projects: When you work at Decision Point, you are guaranteed to work on some of largest and most challenging problems in the world. This entails some intense critical thinking and hard work but also a rewarding experience.

Multiple technology tools exposure: Working at Decision Point can offer you an opportunity to explore various technologies and types of problems in a structured way. This provides you an opportunity to explore multi-cloud experience, cutting edge technologies etc. Over the time, you can develop a specialty that makes you a valued expert in a field.

Direct client interaction with Top Notch clients: Decision Point enjoys a stellar record with top global FMCG/CPG brands. Working with the best clients results not only in interesting work but also exposure across industries of leading executives. You will also get to witness the impact of implementing of your recommendations/strategies as you will be working very closely with clients on day-today basis.

Well planned multi-functional career path: DP provides you to choose your own career path; We have Fast-track career path for people who love challenges, are ambitious and wants to push their limits. This means high reward, challenging role where candidate can get promoted every year with handsome raises e.g., Data Engineer, Data Pipeline, ML Engineering, MLOps etc.

Variety of Projects: DP is working on the different ML & BI projects which ranges from demand forecasting to promo analytics to marketing analytics, etc. Your learning curve will be steep, but it will be one of the best in the industry.

Young and dynamic culture: the average age here is about 25 years. There is a lot of energy flowing all the time. We work hard and party harder. Our work environment is very flexible, and we understand your work life balance. We take off to mountains or beaches to recoup at least once a year and ensure we get together at the end of each quarter.