Data Engineer

You have 4 to 7 years of experience and possess primary skills in Azure Databricks, Pyspark, ADF, Synapse Analytics & SQL. The job location can be in Chennai, Bangalore, Hyderabad, or NCR, and the work mode is Hybrid. Your notice period should be immediate to a maximum of 30 days. As a Senior Data Engineer, you will be responsible for leading the design, development, and enhancement of in-house data platforms. Your role involves constructing datasets as per stakeholder requests, building and maintaining data pipelines, and collaborating closely with data analysts, data scientists, and business application development teams to deliver effective data solutions. Your key responsibilities include providing subject matter expertise in data engineering, implementing secure and high-performing data solutions and pipelines, offering guidance on evolving solutions within the platform, and driving data engineering best practices to enhance the organization's reputation as a reliable data intelligence innovation partner. In terms of collaboration, you will actively contribute to the development and review of data standards and solution documentation, provide guidance to junior team members through peer reviews, and establish strong relationships with business stakeholders and team members across different chapters. As a leader in data engineering, you are expected to stay updated on the latest practices, technologies, and vendor packages, optimize legacy data services, and mentor junior colleagues to enhance their skills and knowledge. Compliance with all relevant obligations, trainings, and certifications is essential, and you must guide team members on compliance, security, and operational responsibilities within your area of work. The ideal candidate for this role should have a master's degree with a minimum of 7 years of experience or equivalent in a similar role. Proficiency in Azure Data Factory, Synapse Analytics, Databricks, ADLS, SQL, PySpark, and Python Programming is required. A successful candidate should have led at least one large-scale and three mid-scale projects or managed complex data pipelines/environments in the past, with related certifications or accreditations being preferred.,