Senior Software Engineer

Understanding the project requirements, by conducting Business Discovery Sessions
 Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into
the desired mart and reports
 Prepare data mapping documents, needed for development of various layers of the data platform (raw – bronze,
EDM – silver, project specific – gold)
 Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power
BI developers
 Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of
the business or organization

Strong analytical and problem-solving skills to effectively design data solutions.
o Banking Retail, Business & Wholesale Product Knowledge and understanding
o Attention to detail and a commitment to delivering high-quality work.
o Excellent communication and teamwork skills to collaborate with cross-functional teams.
o Ability to manage time effectively and prioritize tasks in a dynamic work environment.
 Technical Skills:
o Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
o Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
o Data Warehousing and ETL concepts
 Competencies:
o Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
o Deep understanding of distributed data processing frameworks, particularly Apache Spark.
o Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data
integration services.
o Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
o Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
o Knowledge of data governance, quality assurance, and compliance best practices.
o Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues)
relevant to performance-critical data engineering