Data Engineer (DSP Lab - Chennai, India)

DSP is an IT and consulting services company with 40 years’ experience and provides worldwide software and operations management solutions to the shipping, port and intermodal transportation industry, with special focus to process and equipment automation, optimization, business intelligence, simulation, and project management.

DSP is on the edge of technology developing AI driven digital twin for container terminals.

DSP is the biggest official partner of KALERIS NAVIS and offers worldwide consulting services and products for Terminal Automation and Operations.

DSP is qualified to deliver complete terminal operating systems (TOS) implementations including project management, business process mapping, configuration, integrations, training, testing, go live and post go live assistance.

Our offices:

DSP Data and System Planning SA, Switzerland

DSP LAB Pvt Ltd, Chennai India

DSP TALUMIS BV, Rotterdam, The Netherlands

DSP America Inc. Cincinnati, USA

The Role

DSP is searching for his office in Chennai, India a Data Engineer with a university degree in computer science or mathematics and a proven working experience in requirement analysis and building and maintaining data systems (SQL or NO-SQL) of minimum 5 years. Experience gained during the development of the Master or PhD projects, and the-sis will be positively taken in account.

Position reports to DSP Director of Software Engineering.

Key responsibilities

Documenting business needs on data analysis and reporting and then developing BI systems, reports, and dashboards to support them; also working to acquire and integrate data from heterogeneous data sources in such BI systems.

Supporting and assisting customers that utilize DSP products or DSP developed integration solutions. 

Creating data pipelines, big data platforms and data integrations in databases, data warehouses and data lakes, working with various cloud and on-premises technologies.

Gathering and analyzing data from databases and other data sources running machine learning algorithms and predictive models; proposing and creating effective data visualizations for business users.

Designing and implementing database systems, data models and other data architecture components; also evaluating and recommending purchases of data management technologies.

Required technical skills

·        Excellent knowledge about databases, multidimensional databases, Datawarehouse designing, concepts and methodologies

·        Excellent knowledge of the SQL language and fluency with development, profiling, and optimization tools

·        Capable of data and web service integration, working familiarity with a variety of databases (MS SQL Server, MySQL, Oracle) and database replication (snap-shot, mirroring, transactional) tools

·        Education in statistics, machine learning, data cleansing, data visualization,

·        Activities performed in data visualization and reporting

·        Good knowledge in programming languages (Python, Java, C#),

·        Proven experience with cloud computing tools, preferably Azure, AWS,

·        Proven experience with a wide variety of data and web technologies, both in the cloud and on premises

·        Knowledge or previous experience in the logistics and marine terminals industry is considered a great advantage

Additional technical profile

·      T-SQL and SQL coding, OLAP and dimensional modeling

·      ETL process, building data pipelines, data APIs

·      Change Data Capture (CDC) technique knowledge for near real-time data-driven applications

·      Big data tools (Hadoop, Spark, Kafka)

·      Data warehouse (Azure, Amazon Redshift, SnowFlake)

·      Microsoft Fabric, Power BI and SQL Server Reporting Services

·      Experience in linear optimization algorithms design and programming

·      Previous experience or knowledge of logistics industry, container terminal operations, TOS systems is considered as a great advantage.

Other Skills

·      Independent when working on assigned tasks.

·      Available to work on flexible time zones.

·      Available to travel to visit customers, define and analyze requirements.

·      Ready to work in small team and share his/her knowledge with the group.

·      Required Languages: fluent English.

·      Knowledge, even basic of other languages is an advantage.

Required

University Degree in computer science or mathematics or equivalent.

We offer

·        Adequate salary and compensation.

·        Challenging and informal environment.

·        International activity with travel opportunities.

·        Work location in Chennai (office).

·        100% degree of employment.

·        Effective as soon as possible.

If you are interested, please send your CV and usual related documentation to the following email address: career@dsp.team