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Mid-level Data Engineer in Hyderabad with common big-data skills and 3-6yr band increases applicant competition.
Core data engineering skills are transferable, but banking context and Cloudera specialization increase domain sensitivity.
Explicit 3-6 year requirement and mandatory Cloudera/Hadoop/PySpark stack create strict filtering.
Design, develop, and maintain scalable data pipelines and big data platforms primarily using Cloudera ecosystem technologies.
Lead and mentor junior engineers, ensuring best practices and delivery excellence in data engineering initiatives.
Collaborate with data architects, analysts, and stakeholders to support analytics, reporting, and technical solution design.
3-6 years of experience in data engineering or related roles.
Strong expertise in Cloudera Data Platform and Big Data technologies: Hadoop, Spark, Hive, Sqoop, Oozie.
Proficiency in programming using PySpark, SQL, and Java, and experience with ETL & data warehousing concepts.
Location strictly Hyderabad with immediate to 30 days notice period; initial 8 weeks work from office then hybrid work model.
Experienced in operating within large-scale financial services or enterprise environments supporting critical data workflows.
Technically hands-on with strong leadership skills, balancing 80% technical work and 20% mentoring and technical decision-making.
Comfortable working in hybrid onsite-offsite model with shift timing of 11am-8pm in Hyderabad.