Job Description
Essential Skills & Experience
- Strong expertise in designing and implementing large-scale data engineering solutions and distributed data processing systems.
- Advanced proficiency with Databricks, Apache Spark, Delta Lake, SQL, Hadoop and Python.
- Experience building and operating cloud-based data platforms on Azure, AWS, or GCP.
- Expertise developing enterprise-grade ETL/ELT pipelines, streaming architectures, and data integration frameworks.
- Strong understanding of data modeling techniques for analytical and operational workloads.
- Experience implementing data quality frameworks, lineage, metadata management, and governance practices.
- Experience with Data formats ( Parquet, Avro, ORC )
- Working knowledge of CI/CD pipelines, infrastructure-as-code, automated testing, and DevOps practices.
- Experience with Workflow orchestration Tools like Airflow
- Strong understanding of security, privacy, and compliance requirements associated with sensitive financial and customer data.
- Knowledge of Java Based application development is a huge Plus.
- Lead by influence across engineering, product, risk, analytics, and architecture teams to align priorities and deliver measurable business outcomes.
- Develop engineering talent through mentoring, knowledge sharing, design guidance, and constructive feedback.
- Bachelor's degree or alternative minimum of 10 years of experience in a related field.
Mandatory Skills: DataBricks - Data Engineering .
Experience: 8-10 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.