Lead Software Engineer - Data

TymblHub; Bengaluru; On-site; INR 3,670,000 - 4,050,000; Full time

Job summary

TymblHub in Bengaluru invites a Lead Software Engineer – Data to architect and deliver enterprise-scale data solutions. You will lead a team through the full Big Data lifecycle, using Apache Spark, Hadoop, and cloud services on Azure or AWS with Databricks.

Candidates should have 8–14 years of hands-on Big Data experience, strong distributed computing knowledge, and a proven track record leading Agile data projects. Proficiency in Python, SQL, and streaming technologies is essential.

Qualifications

• 8–14 years of hands-on Big Data experience.
• Strong knowledge of Spark, Hadoop, Hive/Impala.
• Experience with cloud data services on Azure/AWS via Databricks.
• Proven leadership and Agile delivery track record.

Responsibilities

• Direct design and rollout of Big Data solutions.
• Lead a team of engineers and coach them.
• Develop scalable data pipelines with Spark.
• Implement streaming systems with Spark-Streaming or Storm.
• Collaborate across data sources and ETL processes.

Skills

Big data

Distributed computing

Spark

Python

SQL

Hadoop

Kafka

Team leadership

Agile

Tools

Databricks

Hive

Impala

Job description

# Lead Software Engineer - DataEpam SystemsPosted on October 22, 2026---Experience8 - 12 yrsSalary (CTC)₹36.7L - ₹40.5LJob LocationBengaluru, IndiaVacancy1DesignationLead Software EngineerJob TypeNot specified---## Job DescriptionWe're seeking a **Lead Software Engineer – Data** who will architect, develop, and fine-tune enterprise-scale data solutions and lead a team through the entire Big Data implementation process. The ideal candidate brings strong technical knowledge of distributed computing and contemporary data processing tools, combined with proven leadership skills to manage projects using Agile methodologies.**Responsibilities*** Direct the design and rollout of Big Data solutions organization-wide* Build and fine-tune distributed data pipelines utilizing Apache Spark* Produce efficient and scalable Python code to support data engineering efforts* Develop stream-processing systems using technologies like Apache Storm or Spark-Streaming* Consolidate data originating from various sources, such as RDBMS, ERP systems, and file-based inputs* Utilize ETL methodologies and frameworks to guarantee dependable data transformation and delivery* Optimize Spark job performance to satisfy both business and technical needs* Lead the team's adoption of native cloud data services on Azure or AWS using Databricks* Oversee and coach a team of engineers to deliver top-quality data solutions effectively* Champion Agile practices across the entire software development lifecycle**Requirements*** 8-14 years of hands-on experience with Big Data and associated technologies* Strong command of distributed computing concepts and Apache Spark* Skilled in Hadoop v2, MapReduce, HDFS, and Sqoop* Hands-on experience with messaging platforms like Kafka or RabbitMQ* Working knowledge of Big Data querying tools including Hive and Impala* Solid grasp of SQL queries, joins, stored procedures, and relational schema design* Practical experience with NoSQL databases like HBase, Cassandra, or MongoDB* Familiarity with ETL methodologies and frameworks* Hands-on background with native cloud data services on Azure or AWS via Databricks* Proven ability to lead teams effectively* Track record of designing and deploying Big Data solutions* Hands-on experience applying Agile methodology