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TECHNICAL LEAD – DATA ENGINEERING (BIG DATA) @ FX CONSULTING

0 Negotiable or Not Mentioned India, Bangalore 10 days ago fxconsulting.in 573 Views

We are seeking a highly skilled Technical Lead for Data Engineering to join our dynamic team in Bangalore. This role is centered on building and scaling high-performance data systems that support our product-driven initiatives. As a lead, you will be at the forefront of designing scalable ETL pipelines and leveraging technologies such as Spark, Hadoop, and Kafka for large-scale data processing. Your expertise will ensure that our data infrastructure is robust, efficient, and capable of handling complex data workloads.

In addition to your technical responsibilities, you will provide leadership to the engineering team and work collaboratively with Data Scientists to optimize data models and ensure top-tier data quality and security. You will be expected to monitor and troubleshoot data pipelines while maintaining high standards for data governance. The ideal candidate brings 6 to 9 years of experience, a strong background in Python or Scala, and a deep understanding of cloud platforms like AWS, Azure, or GCP. This is a fantastic opportunity for a professional looking to lead engineering excellence in a fast-paced environment.

Key Requirements

6 to 9 years of professional experience in Data Engineering. Proven expertise in Spark and other Big Data technologies. Proficiency in coding with Python, Scala, or Java. Extensive experience in developing and optimizing ETL pipelines. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Strong knowledge of Hadoop and Kafka for large-scale data processing. Demonstrated experience in team handling and leadership roles. Ability to design and optimize complex data models. Understanding of data quality, governance, and security principles. Exceptional problem-solving skills and ability to work in fast-paced environments.
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BIG DATA ENGINEER @ SE MENTOR SOLUTIONS

0 Negotiable or Not Mentioned India, Bengaluru 20 days ago se-mentor.com 1095 Views

Join SE Mentor Solutions as a Big Data Engineer in Bengaluru. We are seeking a senior professional with a minimum of 8 years of experience to lead our big data initiatives. You will be at the forefront of designing and managing large-scale, complex data systems that power our organization's analytics and operations. This role demands a high level of expertise in modern data technologies and a passion for building robust, scalable architectures.

You will utilize your skills in SQL, Python, Databricks, and PySpark to develop and optimize data pipelines within the Azure Cloud ecosystem. As a senior engineer, you will also be responsible for mentoring junior staff and ensuring that all data solutions align with industry best practices. Your role is critical in transforming raw data into actionable insights while maintaining system performance and reliability. Please note that salary details were not included in the original job advertisement.

Key Requirements

Minimum of 8 years of experience in data engineering or big data roles. Expert-level proficiency in SQL and Python. Deep technical knowledge of Databricks and PySpark. Significant experience working with Azure Cloud services. Proven track record of designing and implementing large-scale data systems. Knowledge of Hadoop ecosystem components and big data frameworks. Ability to optimize system performance and manage large data volumes. Experience in mentoring and leading technical teams. Strong understanding of API integrations and data security. Excellent problem-solving and strategic thinking capabilities.
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DATA ENGINEER @ SKILLPLACER

0 Negotiable or Not Mentioned India, Noida 24 days ago skillplacer.com 1352 Views

SkillPlacer is looking for a dedicated Data Engineer to join our dynamic team in Noida. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and solutions that empower our organization to make data-driven decisions. You will collaborate with various stakeholders to understand data requirements and implement robust architectures that ensure data integrity and accessibility across the company.

Candidates should have between 2 to 5 years of relevant experience in data engineering or a similar technical capacity. You will utilize your expertise in programming and database management to optimize our existing data workflows and explore new technologies to enhance our data infrastructure. This is an excellent opportunity for a professional looking to level up their career and contribute to impactful projects in a fast-growing environment.

Key Requirements

2 to 5 years of professional experience in Data Engineering or a related field. Strong proficiency in programming languages such as Python, Java, or Scala. Advanced knowledge of SQL and experience working with relational and non-relational databases. Experience building and optimizing big data pipelines, architectures, and data sets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Experience with big data tools like Hadoop, Spark, or Kafka. Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform. Understanding of data modeling, data mining, and segmentation techniques. Strong analytical skills related to working with unstructured datasets. Proven ability to support and work with cross-functional teams in a dynamic environment.
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