[{"Remote_Job":false , "Posting_Title":"Sr. Data Engineer" , "Is_Locked":false , "City":"Pune" , "Industry":"IT Services" , "Job_Opening_ID":"RRF_5698" , "Job_Description":"

Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, health care, and manufacturing.

TheRole

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, programs, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.
Requirements

Experience in the Big Data technologies (Hadoop, Spark, Nifi,Impala)

5+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java and Spark for applied large-scale data processing.

Expertise with big data technologies, including Spark, Data Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience on HDFS, Nifi, Kafka.

Experience on Apache Ozone, Delta Tables, Databricks, Axon(Kafka), Spring Batch, Oracle DB

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data lakes.

" , "Job_Type":"Permanent" , "Job_Opening_Name":"Sr. Data Engineer" , "State":"Maharashtra" , "Country":"India" , "Zip_Code":"411001" , "id":"613047000046604967" , "Publish":true , "Keep_on_Career_Site":false , "Date_Opened":"2025-08-12"}]

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Sr. Data Engineer