Product Solutions Engineer

1. Bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.

2. Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose

3. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met

4. Prioritization of issues to meet deadlines while ensuring high-quality delivery

5. Ability to pull data and to perform ad hoc reporting and analysis as needed

6. Ability to adapt quickly to new and changing technical environments as well as strong analytical and problem-solving abilities

7. Strong interpersonal and presentation skills

SKILLS:

1. Advanced skills in designing reporting interfaces and interactive dashboards in Google Sheets and Excel

2. Experience working with senior decision-makers

3. Strong advanced SQL/MySQL and Python skills with the ability to fetch data from the Data Warehouse as per the stakeholder's requirement

4. Good Knowledge and experience in Excel VBA and advanced excel

5. Good Experience in building Tableau analytical Dashboards as per the stake holder's reporting requirements

6. Strong communication/interpersonal skills

PERSONA:

1. Experience in working on adhoc requirements

2. Ability to toggle around with shifting priorities

3. Experience in working for Fintech or E-commerce industry is preferable

4. Engineering 2+ years of experience as a Business Analyst for the finance processes

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

Data Engineer- Senior

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What are you going to do?

Design & Develop high performance and scalable solutions that meet the needs of our customers.

Closely work with the Product Management, Architects and cross functional teams.

Build and deploy large-scale systems in Java/Python.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.

Follow best practices that can be adopted in Bigdata stack.

Use your engineering experience and technical skills to drive the features and mentor the engineers.

What are we looking for ( Competencies) :

Bachelor’s degree in computer science, computer engineering, or related technical discipline.

Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.

Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.

Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.

Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.

Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.

Ability to work with distributed teams in a collaborative and productive manner.

Benefits:

Competitive Salary Packages and benefits.

Collaborative, lively and an upbeat work environment with young professionals.

Job Category: Development

Job Type: Full Time

Job Location: Bangalore

Specific Responsibilities

• Minimum of 2 years Experience in Google Big Query and Google Cloud Platform.
• Design and develop the ETL framework using BigQuery
• Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc.
• Working Experience of Clickstream database, Google Analytics/ Adobe Analytics.
• Should be able to automate the data load from Big Query using APIs or scripting language.
• Good experience in Advanced SQL concepts.
• Good experience with Adobe launch Web, Mobile & e-commerce tag implementation.
• Identify complex fuzzy problems, break them down in smaller parts, and implement creative, data-driven solutions
• Responsible for defining, analyzing, and communicating key metrics and business trends to the management teams
• Identify opportunities to improve conversion & user experience through data. Influence product & feature roadmaps.
• Must have a passion for data quality and be constantly looking to improve the system. Drive data-driven decision making through the stakeholders & drive Change Management
• Understand requirements to translate business problems & technical problems into analytics problems.
• Effective storyboarding and presentation of the solution to the client and leadership.
• Client engagement & management
• Ability to interface effectively with multiple levels of management and functional disciplines.
• Assist in developing/coaching individuals technically as well as on soft skills during the project and as part of Client Project’s training program.

• 2 to 3 years of working experience in Google Big Query & Google Cloud Platform
• Relevant experience in Consumer Tech/CPG/Retail industries
• Bachelor’s in engineering, Computer Science, Math, Statistics or related discipline
• Strong problem solving and web analytical skills. Acute attention to detail.
• Experience in analyzing large, complex, multi-dimensional data sets.
• Experience in one or more roles in an online eCommerce or online support environment.

• Expertise in Google Big Query & Google Cloud Platform
• Experience in Advanced SQL, Scripting language (Python/R)
• Hands-on experience in BI tools (Tableau, Power BI)
• Working Experience & understanding of Adobe Analytics or Google Analytics
• Experience in creating and debugging website & app tracking (Omnibus, Dataslayer, GA debugger, etc.)
• Excellent analytical thinking, analysis, and problem-solving skills.
• Knowledge of other GCP services is a plus

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists