Pyspark Developer ( Mumbai)

Big Data Technical Senior Associate Engineer

We are looking for a suitable candidate for the opening of the Senior/Associate Engineer role with good to have experience in the Banking and Financial Services domain with 4-6 years of relevant experience in Data Engineering / Big Data platforms. The candidate will work closely with Business, Risk, and Technology stakeholders to deliver scalable data products on Cloudera (CDH/CDP).

Key Roles & Responsibilities:

Must have / Primary Skills / Mandatory

• Hands-on experience building data pipelines on Hadoop/Spark ecosystem
• Strong Spark (Scala and/or PySpark), Hive/Impala SQL, and performance tuning
• Working knowledge of Kafka for streaming ingestion and NiFi (or StreamSets) for batch/near-real-time flows
• Experience with Cloudera Manager, YARN/Tez, HDFS, and job orchestration using Oozie/Airflow
• Good understanding of data warehousing concepts (dimensional modelling, partitioning, bucketing)
• Proficiency in Linux/Unix, Shell scripting, Git, and CI/CD (Jenkins/GitLab CI)
• Strong SQL and data modelling for BFSI use cases (lending, liabilities, risk, regulatory reporting)
• Experience in writing technical design documents (HLD/LLD) and unit/integration testing
• Exposure to SDLC/Agile and working in onsiteoffshore model
• Location - Mumbai
• Develop robust Spark jobs (batch and streaming) with unit tests and observability
• Implement ingestion patterns (Kafka/NiFi), data quality checks, and job scheduling
• Analyze and tune SQL/Spark for large-scale datasets

Good to have / Secondary Skills / Desired

• Experience with Cloudera Data Platform (CDP) Private Cloud Base/Public Cloud
• Security and governance: Apache Ranger, Atlas; Kerberos; Sentry (legacy)
• Cloud data services – AWS (EMR, Glue, S3), Azure (HDInsight, Synapse, ADLS), or GCP (Dataproc, BigQuery)
• Databricks experience (Spark, Delta Lake) for select workloads
• Containerization and orchestration (Docker/Kubernetes) for micro-batch/ML workloads
• Python for data processing and utilities; familiarity with Scala build tools (sbt/maven)
• Monitoring/observability – Cloudera Manager metrics, Grafana/Prometheus, log aggregation
• Experience with BI consumption patterns and semantic layers for risk/regulatory dashboards

Educational Qualifications

B.E./B.Tech or equivalent

Experience Range

4-6 years

Certifications (Preferred)

• Cloudera Certified Associate/Professional (CCA/CCP) or CDP certifications
• AWS/Azure/GCP data certifications (nice to have)
• Databricks Lakehouse Fundamentals or Associate (nice to have)