
Big Data Solutions Specialist
4 days ago
Job Title: Big Data Engineer
Location: Bangalore, Chennai, Gurgaon, Pune, Mumbai.
Experience: 7–10 Years (Minimum 3+ years in Scala)
Notice Period: Immediate to 30 Days
Mode of Work: Hybrid
We are seeking a highly skilled professional with expertise in data engineering and architecture. The ideal candidate will have hands-on experience in building, scaling, and optimizing big data pipelines, and strong understanding of distributed data systems and cloud-based solutions.
The selected individual will be responsible for:
- Designing, developing, and optimizing large-scale data pipelines and distributed data processing systems.
- Working extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
- Developing and integrating streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
- Writing efficient queries and performing data analysis using Jupyter Notebooks and SQL.
- Collaborating with cross-functional teams to design scalable cloud-based data architectures.
- Ensuring delivery of high-quality code through code reviews, performance tuning, and best practices.
- Building monitoring and alerting systems leveraging Splunk or equivalent tools.
- Participating in CI/CD workflows using Git, Jenkins, and other DevOps tools.
Mandatory Skills:
- Scala – Minimum 3+ years of hands-on experience.
- Strong expertise in Spark (PySpark) and Python.
- Hands-on experience with Apache Kafka.
- Knowledge of NiFi / Airflow for orchestration.
- Strong experience in Distributed Data Systems (5+ years).
- Proficiency in SQL and query optimization.
- Good understanding of Cloud Architecture.
Preferred Skills:
- Exposure to messaging technologies like Apache Kafka or equivalent.
- Experience in designing intuitive, responsive UIs for data analytics visualization.
- Familiarity with Splunk or other monitoring/alerting solutions.
- Hands-on experience with CI/CD tools (Git, Jenkins).
- Strong grasp of software engineering concepts, data modeling, and optimization techniques.
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