7+ Data Warehouse (DWH) Jobs in Delhi, NCR and Gurgaon | Data Warehouse (DWH) Job openings in Delhi, NCR and Gurgaon
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Senior QA Engineer
Experience - 3 to 5 Years
Mandatory Skills- Manual Testing, Sql, ETL Processes, Data Pipelines, Data Warehousing, Geo-Spatial Data
Additional Skills - Communication Skills, Performance Testing, Automation Testing
Locations-Bengaluru/ Gurugram
Job Description
We are looking for a skilled QA / Data Engineer with 3-5 years of experience. The ideal candidate will have strong expertise in manual testing and SQL, with additional knowledge in automation and performance testing being highly desirable. You will be responsible for ensuring the quality and reliability of our data-driven applications by performing thorough testing and validation.
Must Have Skills:
Extensive experience in manual testing, particularly in data-centric environments.
Strong SQL skills for data validation, querying, and testing of database functionalities.
Experience in data engineering concepts, including ETL processes, data pipelines, and data warehousing.
Experience in Geo-Spatial data.
Solid understanding of QA methodologies and best practices for both software and data testing.
Good communication skills.
Good To Have Skills:
Experience with automation testing tools and frameworks (e.g., Selenium, JUnit) for data pipelines.
Knowledge of performance testing tools (e.g., JMeter, LoadRunner) for evaluating data systems.
Familiarity with data engineering tools and platforms (e.g., Apache Kafka, Apache Spark, Hadoop).
Understanding of cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and their testing methodologies.
Required Qualification
Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)
Job Title: Product Manager
Job Description
Bachelor or master’s degree in computer science or equivalent experience.
Worked as Product Owner before and took responsibility for a product or project delivery.
Well-versed with data warehouse modernization to Big Data and Cloud environments.
Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have
Practical experience with continuous integration and continuous delivery workflows.
Self-motivated with strong organizational/prioritization skills and ability to multi-task with close attention to detail.
Good communication skills
Experience in working within a distributed agile team
Experience in handling migration projects – Good to Have
*Data Ingestion, Processing, and Orchestration knowledge
Roles & Responsibilities
Responsible for coming up with innovative and novel ideas for the product.
Define product releases, features, and roadmap.
Collaborate with product teams on defining product objectives, including creating a product roadmap, delivery, market research, customer feedback, and stakeholder inputs.
Work with the Engineering teams to communicate release goals and be a part of the product lifecycle. Work closely with the UX and UI team to create the best user experience for the end customer.
Work with the Marketing team to define GTM activities.
Interface with Sales & Customer teams to identify customer needs and product gaps
Market and competition analysis activities.
Participate in the Agile ceremonies with the team, define epics, user stories, acceptance criteria
Ensure product usability from the end-user perspective
Mandatory Skills
Product Management, DWH, Big Data
* Formulates and recommends standards for achieving maximum performance
and efficiency of the DW ecosystem.
* Participates in the Pre-sales activities for solutions of various customer
problem-statement/situations.
* Develop business cases and ROI for the customer/clients.
* Interview stakeholders and develop BI roadmap for success given project
prioritization
* Evangelize self-service BI and visual discovery while helping to automate any
manual process at the client site.
* Work closely with the Engineering Manager to ensure prioritization of
customer deliverables.
* Champion data quality, integrity, and reliability throughout the organization by
designing and promoting best practices.
*Implementation 20%
* Help DW/DE team members with issues needing technical expertise or
complex systems and/or programming knowledge.
* Provide on-the-job training for new or less experienced team members.
* Develop a technical excellence team
Requirements
- experience designing business intelligence solutions
- experience with ETL Process, Data warehouse architecture
- experience with Azure Data services i.e., ADF, ADLS Gen 2, Azure SQL dB,
Synapse, Azure Databricks, and Power BI
- Good analytical and problem-solving skills
- Fluent in relational database concepts and flat file processing concepts
- Must be knowledgeable in software development lifecycles/methodologies
Senior Software Engineer - Data Team
We are seeking a highly motivated Senior Software Engineer with hands-on experience and build scalable, extensible data solutions, identifying and addressing performance bottlenecks, collaborating with other team members, and implementing best practices for data engineering. Our engineering process is fully agile, and has a really fast release cycle - which keeps our environment very energetic and fun.
What you'll do:
Design and development of scalable applications.
Work with Product Management teams to get maximum value out of existing data.
Contribute to continual improvement by suggesting improvements to the software system.
Ensure high scalability and performance
You will advocate for good, clean, well documented and performing code; follow standards and best practices.
We'd love for you to have:
Education: Bachelor/Master Degree in Computer Science.
Experience: 3-5 years of relevant experience in BI/DW with hands-on coding experience.
Mandatory Skills
Strong in problem-solving
Strong experience with Big Data technologies, Hive, Hadoop, Impala, Hbase, Kafka, Spark
Strong experience with orchestration framework like Apache oozie, Airflow
Strong experience of Data Engineering
Strong experience with Database and Data Warehousing technologies and ability to understand complex design, system architecture
Experience with the full software development lifecycle, design, develop, review, debug, document, and deliver (especially in a multi-location organization)
Good knowledge of Java
Desired Skills
Experience with Python
Experience with reporting tools like Tableau, QlikView
Experience of Git and CI-CD pipeline
Awareness of cloud platform ex:- AWS
Excellent communication skills with team members, Business owners, across teams
Be able to work in a challenging, dynamic environment and meet tight deadlines
Greetings! We are looking for Product Manager for our Data modernization product. We need a resource with good knowledge on Big Data/DWH. should have strong Stakeholders management and Presentation skills
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Responsible for planning, connecting, designing, scheduling, and deploying data warehouse systems. Develops, monitors, and maintains ETL processes, reporting applications, and data warehouse design. |
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Role and Responsibility |
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· Plan, create, coordinate, and deploy data warehouses. · Design end user interface. · Create best practices for data loading and extraction. · Develop data architecture, data modeling, and ETFL mapping solutions within structured data warehouse environment. · Develop reporting applications and data warehouse consistency. · Facilitate requirements gathering using expert listening skills and develop unique simple solutions to meet the immediate and long-term needs of business customers. · Supervise design throughout implementation process. · Design and build cubes while performing custom scripts. · Develop and implement ETL routines according to the DWH design and architecture. · Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse. · Monitor the DWH and BI systems performance and integrity provide corrective and preventative maintenance as required. · Manage multiple projects at once. |
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DESIRABLE SKILL SET |
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· Experience with technologies such as MySQL, MongoDB, SQL Server 2008, as well as with newer ones like SSIS and stored procedures · Exceptional experience developing codes, testing for quality assurance, administering RDBMS, and monitoring of database · High proficiency in dimensional modeling techniques and their applications · Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel · Several years working experience with Tableau, MicroStrategy, Information Builders, and other reporting and analytical tools · Working knowledge of SAS and R code used in data processing and modeling tasks · Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other “big data” technologies such as AWS Redshift or Google Big Data
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Python
Data Analytics
Machine Learning (ML)
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