Data Engineer

Job Description

Area(s) of responsibility About Birlasoft Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Ability to relate the product functionality to business processes, and thus offer implementation advice to customers on how to meet their various business scenarios using Oracle SCM. Job Title – Data Engineer Location: Bangalore/Pune Educational Background – BE/Btech Key Responsibilities – Must Have Skills:Must have skills: Minimum of 3 years of Data Engineering Experience Must be an expert in SQL Must be an expert in data modeling Incorta experience is a plus Excellent oral and written communication skills Self-starter with analytical, organizational, and problem-solving skills Must be highly flexible and adaptable to change Power BIStrong programming skills in languages such as SQL, PythonExperience with data modelling, data warehousing, and dimensional modelling conceptFamiliarity with data governance, data security.Excellent problem-solving and analytical skills.Strong communication and collaboration abilities.Nice to Haves:Knowledge of big data technologies such as Apache Hadoop, Spark, or KafkaAzure Databricks & Azure Cosmos DBRelevant certifications such as Microsoft Certified: Azure Data Engineer Associate is a plus.Tasks & responsibilities Collaborate with team members and stakeholders to understand data and metric requirements Pull data from a variety of sources into a central data platform Structure datasets and calculate metrics based on requirements Develop automated scripts to automate otherwise manual processes Communicate concerns and data findings as they arise to the appropriate team members or stakeholders Present data findings and solutions in a way that is easy for non-technical team members and stakeholders to understand