Good understanding of SDLC process and experience working in agile environment.
Minimum 10 years of experience in working on Data warehouse and integration solutions.
Experience in Data Analytics with Big Data
Good working Experience on Data Integration, warehousing concepts - Dimensional and Relational models, ETL tools, and Reporting.
Good Experience integrating multiple Big Data solutions and legacy database systems
Experience processing large amounts of structured and unstructured data.
Expert level knowledge of Hadoop ecosystem components – Hadoop, Map Reduce, Pig, Hive, Solr, Elastic search, Spark, Kafka, Storm, Falcon, Oozie, Hawq, Gemfire XD etc.
Expert level knowledge of one or more NoSQL databases - HBase, Cassandra, MongoDB
Advanced skills using one or more scripting languages (e.g. python, UNIX shell scripts)
Ability to quickly understand business problems, find patterns and insights.
Ability to quickly learn new technologies and work effectively in a very dynamic environment.
Proven ability to build, manage and foster a team-oriented environment
Proven ability to work creatively and analytically in a problem-solving environment
Excellent communication (written and oral) and interpersonal skills
Excellent leadership and management skills
Additional InformationLocal candidate preferred but not mandatory.
Skills Required
- Minimum 10 years of experience in Data warehouse and integration solutions
- Expert level knowledge of Hadoop ecosystem components
- Expert level knowledge of NoSQL databases
- Advanced skills using scripting languages
Intelliswift Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intelliswift and has not been reviewed or approved by Intelliswift.
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Fair & Transparent Compensation — Pay is considered okay to good, with some technical roles (e.g., QA/engineering) seen as market‑aligned and showing stronger sentiment by role and geography. Feedback suggests perceptions of fairness are stronger in U.S. contexts than India‑focused data.
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Career-Linked Recognition & Rewards — Recognition and rewards programs are highlighted alongside competitive pay and learning and development. Feedback suggests these elements are positioned as part of the total rewards offering.
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Wellbeing & Lifestyle Benefits — An Employee Assistance Program and wellness reimbursement are called out among company‑listed perks. Flexible work environments are also emphasized as part of the overall benefits narrative.
Intelliswift Insights
What We Do
What do we do? Intelliswift delivers world-class Product Engineering, Data Management and Analytics, Digital Enterprise, Digital Integration, Salesforce, and Talent Solutions to businesses across the globe. We empower companies to embrace new technologies and strategies along their digital transformation journey through data-rich modern platforms, innovation-led engineering, and people-centric solutions. Strong customer-centricity makes us a trusted ally to several Fortune 500 companies, SMBs, ISVs, and fast-growing startups. To whom do we cater? Industries: Technology, Media, Telecom, Pharma, Healthcare, Banking, Financial Services & Insurance, Retail. Where are we headed? We are driven to leverage our innovation and deep expertise to create a long-lasting impact for our customers and stakeholders. What drives us? • We believe in delivering sustainable and future-driven solutions. • We believe in enabling everyone that works with us – from clients to partners to employees. • We believe that the future belongs to those who Love the New – which is why we are constantly reinventing and innovating NEW solutions to enable businesses to stay ahead of the competition.
