Overview
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.
The Role
- 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 Opening ID
RRF_5114
Job Type
Permanent
Industry
IT Services
Date Opened
17/03/2025
City
Pune
Province
Maharashtra
Country
India
Postal Code
411057
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Email
info@antaltechjobs.in