Psiog is a pure play software services specialist focusing on delivering technology services & solutions in the areas of operational efficiency & customer experience. Headquartered in Chennai, India, Psiog services global customers in North America, EMEA, ANZ & APAC across a variety of industries such as Manufacturing, Energy & Utilities, Hi-Tech, Financial Services, Retail and Automobile. Psiog’s core expertise is in building, implementing, testing, integrating & maintaining applications leveraging a variety of cutting-edge tools & technologies.
Key service offerings for the mid-market segment are:
- Has a minimum of 4 years of experience in Data engineering and business intelligence - designing,developing, testing, and implementing data solutions.
- 1+ years using/exposure to any of PowerBI/Tableau/Analysis Services data solutions, or comparabletools in in the cloud data warehousing, transformation, and visualization space.
- 2+ years of experience with more than 1 database system, such as Snowflake/Redshift, Azure Synapse,BigQuery, Oracle, SQL Server, MySQL Create and manage data source connections and integratetables into Tabular models.
Required skills:
Technical:
- ETL/ELT and SQL coding using cloud-based database solutions such as Azure SQL, Synapse,Redshift, Snowflake or similar tools.
- Design and develop star schema data models, and ETL/ELT jobs, to support use cases across typicalbusiness domains.
- Design/Develop using best-practices techniques across data modelling, use of table-driven control oftransformation jobs, and dynamic ETL/ELT jobs that scale for expanding use cases.
- Establish and maintain reporting dashboard solutions for enterprise-wide and executive analytics,including maintenance of back-end transformation layers and data pipelines.
- Exposure to Programming languages, i.e., Python, Java, etc.
Non-Technical:
- Has worked closely with customer & business stakeholders, solution/technical architects, businessanalysts and project managers to design, develop and execute business use-cases.
- Interface with adjacent teams, including business users, report readers, report developers, and otherdata engineers to establish a consistent and polished approach to coping, design, development &rollout of BI & Analytics solutions.
- Has taken part in high level design (HLD) and low-level design (LLD) phases in close collaborationwith Business heads, Data engineers, Data & Enterprise architectsd. Experience handling client requirements and communication directly.
- Exceptional communication, analytical, conceptual, and problem-solving abilities.
Requirements
Preferred skills:
Technical:
- EAI or designing/developing a distributed systems architecture experience a plus.
- Knowledge & implementation of role and row-based security across all layers of the data architectureand build a user-friendly consumption layer to enable self-service analytics.
- Advanced understanding of SQL development in both stored procedures and leveraging ETL/ELTtools, such as ADF, Matillion, Informatica, SSIS.
- Knowledge of API-led connectivity, Microservices, events-based integration a plus.
Non-Technical:
- Ability to work with abstract problem statements in ambiguous customer environments and workindependently and provide technical leadership to the IT team.
- Ability to work on solutioning, technical architecture, high-level design and low-level design for cloud& on-prem databases & applications and systems’ integration.
What Psiog offers:
- Be a part of a niche Technology focused unit called TAC (Technology advisory council) offering aclear roadmap of Professional and Competency growth geared towards a career path with rewardingleadership opportunities.
- A unique opportunity to work with an Enterprise Data Management Centre across spectrum of datarelated technologies, with exposure to multiple domains and diverse customers in varying stages oftheir data management journey.
- Play a role across projects to help with technology mentoring, troubleshooting, architecture design,code reviews.
- Research, evaluate and recommend tools, technologies, and processes to ensure high quality softwaredelivery Implement and enforce best technology practices across the SDLC.
- Plenty of scope to experiment and innovate with technologies and ideas, supported by mentoring.