Datawarehouse Developer

Join Our Journey

Jules develops an amazing end-to-end solution for recycled materials traders, importers and exporters. Which means a looooot of internal, structured data to play with in order to provide reporting, alerting and insights to end-users. With about 200 tables, covering all business processes from order management, to payments including logistics, hedging and claims, the wealth the data entered in Jules can unlock is massive. 

After working on a simple stack made of PostGres, SQL queries and a visualization solution, the company is now ready to set-up its data stack and only misses you. We are thinking DBT, Redshift or Snowlake, Five Tran, Metabase or Luzmo etc. We also have an AI team already playing around text driven data interaction. 

As a Data Engineer at Jules AI, your duties will involve both data engineering and product analytics, enhancing our data ecosystem. You will collaborate with cross-functional teams to design, develop, and sustain data pipelines, and conduct detailed analyses to generate actionable insights.

Roles And Responsibilities:

• Work with stakeholders to determine data needs, and design and build scalable data pipelines.
• Develop and sustain ELT processes to guarantee timely and precise data availability for analytical purposes.
• Construct and oversee large-scale data pipelines that collect data from various sources.
• Expand and refine our DBT setup for data transformation.
• Engage with our data platform team to address customer issues.
• Apply your advanced SQL and big data expertise to develop innovative data solutions.
• Enhance and debug existing data pipelines for improved performance and reliability.
• Generate and update dashboards and reports to share analytical results with stakeholders.
• Implement data quality controls and validation procedures to maintain data accuracy and integrity.
• Work with various teams to incorporate analytics into product development efforts.
• Use technologies like Snowflake, DBT, and Fivetran effectively.

Mandatory Qualifications:

• Hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Possess at least 4 years of experience in Data Engineering, ETL Building, database management, and Data Warehousing.
• Demonstrated expertise as an Analytics Engineer or in a similar role.
• Proficient in SQL, a scripting language (Python), and a data visualization tool.
• Mandatory experience in working with DBT.
• Experience in working with Airflow, and cloud platforms like AWS, GCP, or Snowflake.
• Deep knowledge of ETL/ELT patterns.
• Require at least 1 year of experience in building Data pipelines and leading data warehouse projects.
• Experienced in mentoring data professionals across all levels, from junior to senior.
• Proven track record in establishing new data engineering processes and navigating through ambiguity.
• Preferred Skills: Knowledge of Snowflake and reverse ETL tools is advantageous.

Grow, Develop, and Thrive With Us

• Global Collaboration: Work with a dynamic team that’s making an impact across the globe, in the recycling industry and beyond. We have customers in India, Singapore, United-States, Mexico, Germany, France and more
• Professional Growth: a highway toward setting-up a great data team and evolve into a leader
• Flexible Work Environment: Competitive compensation, performance-based rewards, health benefits, paid time off, and flexible working hours to support your well-being.

Apply to us directly : https://nyteco.keka.com/careers/jobdetails/41442

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.

Job Description: 

We are looking for an experienced SQL Developer to become a valued member of our dynamic team. In the role of SQL Developer, you will be tasked with creating top-notch database solutions, fine-tuning SQL databases, and providing support for our applications and systems. Your proficiency in SQL database design, development, and optimization will be instrumental in delivering efficient and dependable solutions to fulfil our business requirements.

Responsibilities:

 ● Create high-quality database solutions that align with the organization's requirements and standards.

● Design, manage, and fine-tune SQL databases, queries, and procedures to achieve optimal performance and scalability.

● Collaborate on the development of DBT pipelines to facilitate data transformation and modelling within our data warehouse.

● Evaluate and interpret ongoing business report requirements, gaining a clear understanding of the data necessary for insightful reporting.

● Conduct research to gather the essential data for constructing relevant and valuable reporting materials for stakeholders.

● Analyse existing SQL queries to identify areas for performance enhancements, implementing optimizations for greater efficiency.

● Propose new queries to extract meaningful insights from the data and enhance reporting capabilities.

● Develop procedures and scripts to ensure smooth data migration between systems, safeguarding data integrity.

● Deliver timely management reports on a scheduled basis to support decision-making processes.

● Investigate exceptions related to asset movements to maintain accurate and dependable data records.

Duties and Responsibilities: 

● A minimum of 3 years of hands-on experience in SQL development and administration, showcasing a strong proficiency in database management.

● A solid grasp of SQL database design, development, and optimization techniques.

● A Bachelor's degree in Computer Science, Information Technology, or a related field.

● An excellent understanding of DBT (Data Build Tool) and its practical application in data transformation and modelling.

● Proficiency in either Python or JavaScript, as these are commonly utilized for data-related tasks.

● Familiarity with NoSQL databases and their practical application in specific scenarios.

● Demonstrated commitment and pride in your work, with a focus on contributing to the company's overall success.

● Strong problem-solving skills and the ability to collaborate effectively within a team environment.

● Excellent interpersonal and communication skills that facilitate productive collaboration with colleagues and stakeholders.

● Familiarity with Agile development methodologies and tools that promote efficient project management and teamwork.

Exp-Min 10 Years

Location Mumbai

Sal-Nego

Powerbi, Tableau, QlikView,

Solution Architect/Technology Lead – Data Analytics

Role

Looking for Business Intelligence lead (BI Lead) having hands on experience BI tools (Tableau, SAP Business Objects, Financial and Accounting modules, Power BI), SAP integration, and database knowledge including one or more of Azure Synapse/Datafactory, SQL Server, Oracle, cloud-based DB Snowflake. Good knowledge of AI-ML, Python is also expected.

• You will be expected to work closely with our business users. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership, leadership and be able to work well in teams.
• Responsibilities :
• Design, development and support of multiple/hybrid Data sources, data visualization Framework using Power BI, Tableau, SAP Business Objects etc. and using ETL tools, Scripting, Python Scripting etc.
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git. Primary Skills

Requirements

• 10+ years working as a hands-on developer in Information Technology across Database, ETL and BI (SAP Business Objects, integration with SAP Financial and Accounting modules, Tableau, Power BI) & prior team management experience
• Tableau/PowerBI integration with SAP and knowledge of SAP modules related to finance is a must
• 3+ years of hands-on development experience in Data Warehousing and Data Processing
• 3+ years of Database development experience with a solid understanding of core database concepts and relational database design, SQL, Performance tuning
• 3+ years of hands-on development experience with Tableau
• 3+ years of Power BI experience including parameterized reports and publishing it on PowerBI Service
• Excellent understanding and practical experience delivering under an Agile methodology
• Ability to work with business users to provide technical support
• Ability to get involved in all the stages of project lifecycle, including analysis, design, development, testing, Good To have Skills
• Experience with other Visualization tools and reporting tools like SAP Business Objects.

Position: ETL Developer

Location: Mumbai

Exp.Level: 4+ Yrs

Required Skills:

* Strong scripting knowledge such as: Python and Shell

* Strong relational database skills especially with DB2/Sybase

* Create high quality and optimized stored procedures and queries

* Strong with scripting language such as Python and Unix / K-Shell

* Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts.

* Familiar with lifecycle of a trade and flows of data in an investment banking operation is a plus.

* Experienced in Agile development process

* Java Knowledge is a big plus but not essential

* Experience in delivery of metrics / reporting in an enterprise environment (e.g. demonstrated experience in BI tools such as Business Objects, Tableau, report design & delivery) is a plus

* Experience on ETL processes and tools such as Informatica is a plus. Real time message processing experience is a big plus.

* Good team player; Integrity & ownership

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth. 

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities. 

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators. 

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions. 
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes. 

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner. 

Pre-requisites for the Role 

1. Job ID-EMBD0120PS 

1. Primary skill: GCP DATA ENGINEER, BIGQUERY, ETL 

1. Secondary skill: HADOOP, PYTHON, SPARK 

1. Years of Experience: 5-8Years  

1. Location: Remote 

Budget- Open  

NP- Immediate 

GCP DATA ENGINEER 

Position description 

• Designing and implementing software systems 

• Creating systems for collecting data and for processing that data 
• Using Extract Transform Load operations (the ETL process) 
• Creating data architectures that meet the requirements of the business 
• Researching new methods of obtaining valuable data and improving its quality 
• Creating structured data solutions using various programming languages and tools 

• Mining data from multiple areas to construct efficient business models 
• Collaborating with data analysts, data scientists, and other teams. 

Candidate profile 

• Bachelor’s or master’s degree in information systems/engineering, computer science and management or related. 
• 5-8 years professional experience as Big Data Engineer 

• Proficiency in modelling and maintaining Data Lakes with PySpark – preferred basis. 
• Experience with Big Data technologies (e.g., Databricks) 
• Ability to model and optimize workflows GCP. 
• Experience with Streaming Analytics services (e.g., Kafka, Grafana) 
• Analytical, innovative and solution-oriented mindset 

• Teamwork, strong communication and interpersonal skills 
• Rigor and organizational skills 
• Fluency in English (spoken and written).