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Tier-1 brand, metro location, and broad data-engineering skillset raise competition significantly.
Core Big Data and orchestration skills (Spark, Airflow, Databricks) are highly transferable across industries.
Mandatory 7-12 years plus extensive Big Data, cloud, and tool-specific requirements make screening strict.
Participate in establishing and implementing new or revised application systems and programs aligned with business needs.
Manage all phases of application development lifecycle including analysis, design, construction, testing, implementation, and user support.
Serve as subject matter expert advising senior stakeholders and coaching junior analysts, ensuring compliance, security, and risk management in system design and implementation.
7 - 12 years of relevant experience in systems analysis and software application programming.
Proficient in Python, PySpark, PyFlink programming languages.
Experience with Big Data technologies like Apache Spark, Databricks, Apache Flink, Apache Trino; data orchestration tools like Apache Airflow; and knowledge of Data Lake Table formats such as Apache Iceberg and Hive.
Bachelor's degree or equivalent experience; familiarity with cloud platforms AWS, Azure, GCP.
Experienced in managing and implementing complex technology projects within application development environments.
Able to operate with limited supervision, exercise independent judgement and act as a subject matter expert for senior stakeholders.
Strong familiarity with big data ecosystem, data orchestration, and visualization tools, enabling end-to-end delivery of scalable data solutions.