Data Engineering Lead At Kolkata Job in Exide Industries

Play a critical role in database design and development, data integration and ingestion, as well as designing ETL architectures using a variety of ETL tools and techniques Implement the best possible solutions for stakeholders in close collaboration with a highly skilled Data Science team Partner with stakeholders to model their data landscape, obtain data extracts and define secure data

exchange approaches

Plan and execute secure, good practice data integration strategies and approaches Lead workstreams in acquiring, ingesting, and processing data from multiple sources and systems into Big Data platforms. Help create and manage data environments in the Cloud and collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models

5+ years of working experience

Experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs)

Experience working on projects within the cloud ideally Azure or AWS

Data security & governance expertise

Strong development background with experience in SQL along with other scripting, object oriented or functional programming language, etc. Python, Java, Scala, C#, R

End-to-End Data Warehousing experience preferably on SAP BW HANA/Azure Synapse or AWS Redshift, building operational ETL data pipelines across several sources and constructing relational and dimensional data models

Experience in at least one ETL tool (e.g., Azure Data Factory, AWS Glue, Informatica, Talend, Pentaho, DataStage)

Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

Experience in at least one BI tool (e.g., Tableau, Power BI, SAP BO, etc. )

Experience with working on SAP S/4 as data source and understanding FMCG/CPG business processes will be preferred

Excellent interpersonal skills when interacting in a clear, timely, and professional manner

Proven ability in clearly communicating complex solutions

Excel in team collaboration and working with others from diverse skill-sets and backgrounds