Chennai, Tamilnadu, India
We are searching for our office in Chennai, 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 thesis will be positively taken in account
- 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.
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Supporting and assisting customers that utilize our products or its developed integration solutions.
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Creating data pipelines, big data platforms and data integrations in databases, data warehouses and data lakes, working with various cloud and on-premises technologies.
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Gathering and analysing data from databases and other data sources running machine learning algorithms and predictive models; proposing and creating effective data visualizations for business users
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Designing and implementing database systems, data models and other data architecture components; also evaluating and recommending purchases of data management technologies.
- Excellent knowledge about databases, multidimensional databases, Datawarehouse designing, concepts and methodologies
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Excellent knowledge of the SQL language and fluency with development, profiling, and optimization tools
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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
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Education in statistics, machine learning, data cleansing, data visualization
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Activities performed in data visualization and reporting
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Good knowledge in programming languages (Python, Java, C#)
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Proven experience with cloud computing tools, preferably Azure, AWS
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Proven experience with a wide variety of data and web technologies, both in the cloud and on premises
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Knowledge or previous experience in the logistics and marine terminals industry is considered a great advantage
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T-SQL and SQL coding, OLAP and dimensional modelling
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ETL process, building data pipelines, data APIs
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Change Data Capture (CDC) technique knowledge for near real-time data-driven applications Big data tools (Hadoop, Spark, Kafka)
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Data warehouse (Azure, Amazon Redshift, Snowflake)
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Microsoft Fabric, Power BI and SQL Server Reporting Services
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Experience in linear optimization algorithms design and programming
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Previous experience or knowledge of logistics industry, container terminal operations, TOS systems is considered as a great advantage.
