Opens an external site
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
Collaborate with project teams and business stakeholders to develop and maintain interactive dashboards. Advocate for development best practices and ensure data integrity across all applications and domains.
Job details
Life at Ness At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter. Requirements and responsibilities What you’ll do * Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams * Create new datasets and sophisticated dashboards * Understand the data and business processes across all applicaitons, all data domains * Advocate best practises for development across our teams What you’ll bring Must Have * Expert in SQL, Hadoop, BigData, Hive, Nifi * Ability to analyse the construction of existing reports and reverse engineer table relationships etc * Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading. * Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator. * Strong at database commands (DDL and DML) and data warehousing implementations models. * Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN. * Familiar with Mainframe ESP for job scheduling. * * Understanding of branched development – dev, qa, prod etc * Passionate about data and it’s potential Desired: * Experience of analyzing Lobs, data bases, writing scripts. * Experience of connecting to additional sources such as Azure, MySql * CI/CD experience Education: * Bachelor’s degree in Computer Science or equivalent. * Candidates without Computer Science or Information Technology degree should have significant work experience. Why Join Us At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents. With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful. What to Expect Next We believe great experiences start with transparency—and that includes our hiring process. Here’s what you can typically expect after you hit "Apply": 1. HR Interview – A conversation to get to know you better and align on expectations 2. Technical Interview – A chance to showcase your skills and experience 3. Client Interview – Ensuring mutual fit between you and the client team 4. Offer Stage – If everything aligns, we’ll be happy to make it official While many of our roles involve just 2–3 steps, some client processes may include additional conversations. Regardless of the path, we aim to keep every step transparent and respectful of your time. Ready to Start Your Journey?
What you’ll do
Collaborate with project teams and business stakeholders to develop and maintain interactive dashboards. Advocate for development best practices and ensure data integrity across all applications and domains.
Requirements
Requires expert-level proficiency in SQL, Hadoop, and the DataStage ecosystem with strong experience in data warehousing. A bachelor's degree in Computer Science or equivalent experience is mandatory.
Benefits
- Trainings
- Certifications
- Bonuses
- Socializing activities
- Attractive compensation
Listed skills
- SQL · Preferred
- Data Validation · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SQL
- Hadoop
- BigData
- Hive
- Nifi
- DataStage
- Data warehousing
- Data extraction
- Data cleansing
- Data aggregation
- Data validation
- Data transformation
- Data loading
- HDFS
- Sqoop
- YARN
- Change Data Capture (CDC)
- CI/CD
- Professionalism
- Apache NiFi
- Advocacy
- Data Analysis
- Microsoft Azure
- Big Data
- Dashboard
- Business Process
- Computer Science
- Information Technology
- Data Definition Language
- Data Extraction
- Data Manipulation Language
- Data Warehousing
- IBM InfoSphere DataStage
- File Systems
- Apache Hadoop
- Hadoop Distributed File System (HDFS)
- Apache Hive
- Innovation
- MySQL
- Safety Assurance
- SQL (Programming Language)
- Job Scheduling (Inventory Management)
- Apache Yarn
- Teamwork
- Aggregator
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Retail
- Data Analyst
- Statistical, Mathematical and Related Associate Professionals
- Business Intelligence Analysts
- Data Scientists