23,392 Spark jobs in India

ETL Developer will be responsible for designing, implementing, and optimizing distributed data processing jobs to handle large-scale data in Hadoop Distributed File System(HDFS) using Apache Spark and Python. This role required deep understanding of data engineering principles, proficiency in Python and hands-on experience with Spark and Hadoop ecosystems. Developer will collaborate with data engineers, analysts, and business stakeholders to process, transform and drive insights and data driven decisions.

Responsibilities:

• Data Processing and Transformation:

Design and Implement of Spark applications to process and transform large datasets in HDFS.

Develop ETL Pipelines in Spark using Python for data Ingestion, cleaning, aggregation, and transformations.

Performance Optimization:

Optimize Spark jobs for efficiency, reducing run time and resource usage.

Finetune memory management, caching, and partitioning strategies for Optimal performance

Data Engineering with Hadoop and Spark:

Load data from different sources into HDFS, ensuring data accuracy and integrity.

Integrate Spark Applications with Hadoop frameworks like Hive, Sqoop etc.

Testing and debugging:

Troubleshoot and debug Spark Job failures, monitor job logs, and Spark UI to Identify Issues.

Qualifications:

• 2-5 years of relevant experience
• Experience in programming/debugging used in business applications
• Working knowledge of industry practice and standards
• Comprehensive knowledge of specific business area for application development
• Working knowledge of program languages
• Consistently demonstrates clear and concise written and verbal communication
• Expertise in handling complex large-scale Warehouse environments
• Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities

Education:

• Bachelor's degree in a quantitative field (such as Engineering, Computer Science) or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

Responsibilities

A day in the life of an Infoscion- As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight.
- You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise.
- You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design
- You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines
- Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you

Additional Responsibilities:

• Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
• Good knowledge on software configuration management systems
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Understanding of the financial processes for various types of projects and the various pricing models available
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions
• One or two industry domain knowledge
• Client Interfacing skills
• Project and Team management

Technical and Professional Requirements:

• Primary skills:Technology->Big Data - Data Processing->Spark

Preferred Skills:

Technology->Big Data - Data Processing->Spark

Well versed with:

• Very good proficiency in Python and Spark programming.
• Pandas: Experience with data manipulation and analysis using Pandas.
• Implementation experience of Spark Core, Spark SQL and Spark Streaming
• Working with Spark in combination Hadoop Ecosystem
• Design and implementation of low-latency, high-availability, and performance applications.
• Should lead and guide a team of junior Python developers.
• As Sr Python Developer responsibilities include coding, testing, debugging, and troubleshooting throughout the application development process.
• Performance tuning, improvement, balancing, usability, and automation.
• Collaborate with other team members and stakeholders.

Educational Qualification

• Proficiency in Python programming.
• Experience with Pandas for data manipulation and analysis.
• Knowledge of Polars for efficient data processing.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment

Translate use cases into functional apps; design, build, and optimize Java/Spark code; identify bottlenecks and fix bugs; process data with Hive, Impala, HBASE. Skills: 8+ yrs Java, Big Data (HDFS, Spark, Kafka), SQL, multithreading, Agile, Git.

Required Candidate profile

Java/Spark Developer with 5+ years' experience in Big Data, HDFS, Hive, Kafka, SQL, and multithreading. Proficient in Agile, Git, and performance optimization with strong problem-solving skills.

Hiring Java + Spark Developer with experience range 5 to 15 Years of experience

Mandatory Skills: Java /Spark/ Pyspark/ Hadoop

Education: Btech/BE, BCA/MCA,Bsc/MSc

Java+Spark

• Primary skill - Apache Spark Secondary skill - Java
• Strong knowledge in Apache Spark framework Core Spark, Spark Data Frames, Spark streaming
• Hands-on experience in any one of the programming languages (Java)
• Good understanding of distributed programming concepts.
• Experience in optimizing Spark DAG, and Hive queries on Tez
• Experience using tools like Git, Autosys, Bitbucket, Jira
• Ability to apply DWH principles within Hadoop environment and NoSQL databases.

Mandatory Skills: Apache Spark.Experience: 5-8 Years.

Scala/Spark Developer: 5+ yrs experience in designing scalable data pipelines with Scala, Spark, Hadoop, Kafka. Skilled in data formats(Avro,Parquet),HDFS, SQL, NoSQL. Proficient in troubleshooting, optimization, delivering reliable bigdata solutions

Required Candidate profile

Scala/Spark Developer with 5+ years' experience in building scalable data pipelines using Scala, Spark, Hadoop, Kafka. Skilled in SQL, NoSQL, HDFS, and optimizing big data processes for reliability.

The Senior Spark Tech Lead will be responsible for integrating and maintaining the Quantexa platform, a spark based software provided by a UK fintech, into our existing systems to enhance our anti-money laundering capabilities. This role requires a deep expertise in Spark development, as well as an ability to analyze and understand underlying data. Additionally, the candidate should have an interest in exploring open-source applications distributed by Apache, Kubernetes, OpenSearch and Oracle.

Should be able to work as a Scrum Master

Responsibilities

Direct Responsibilities

Integrate and upgrade the Quantexa tool with our existing systems for enhanced anti-money laundering measures.

Develop and maintain Spark-based applications deployed on Kubernetes clusters.

Conduct data analysis to understand and interpret underlying data structures.

Collaborate with cross-functional teams to ensure seamless integration and functionality.

Stay updated with the latest trends and best practices in Spark development and Kubernetes.

Contributing Responsibilities

Taking complete ownership of project activities and understand each tasks in details.

Ensure that the team delivers on time without any delays and deliveries are of high quality standards.

Estimation, Planning and scheduling of the project. Ensure all internal timelines are respected and project is on track.

Work with team to develop robust software adhering to the timelines & following all the standard guidelines.

Act proactively to ensure smooth team operations and effective collaboration

Make sure team adheres to all compliance processes and intervene if required

Task assignment to the team and tracking until task completion

Proactive Status reporting to the management.

Identify Risks in the project and highlight to Manager.

Create Contingency and Backup planning as necessary. Create Mitigation Plan.

Take decision by own based on situation.

Play the role of mentor and coach team members as and when required to meet the target goals

Gain functional knowledge on applications worked upon

Create knowledge repositories for future reference.

Arrange knowledge sharing sessions to enhance team's functional capability.

Evaluation of new tools and coming with POCs.

Provide feedback of team to upper management on timely basis

Technical & Behavioral Competencies

Key Responsibilities

Integrate and upgrade the Quantexa tool with our existing systems for enhanced anti-money laundering measures.

Develop and maintain Spark-based applications deployed on Kubernetes clusters.

Conduct data analysis to understand and interpret underlying data structures.

Collaborate with cross-functional teams to ensure seamless integration and functionality.

Stay updated with the latest trends and best practices in Spark development and Kubernetes.

Required Qualifications

7+ Years of experience in development

Extensive experience in Hadoop, Spark, Scala development (5 years min).

Strong analytical skills and experience in data analysis (SQL), data processing (such as ETL), parsing, data mapping and handling real-life data quality issues.

Excellent problem-solving abilities and attention to detail.

Strong communication and collaboration skills.

Experience in Agile development.

High quality coding skill, incl. code control, unit testing, design, and documentation (code, test). Experience with tools such as sonar. Experience with GIT, Jenkins.

Specific Qualifications (if required)

Experience with development and deployment of spark application and deployment on Kubernetes clusters

Hands-on development experience (Java, Scala, etc.) via system integration projects, Python, Elastic (optional).

Skills Referential

Behavioural Skills : (Please select up to 4 skills)

Ability to collaborate / Teamwork

Adaptability

Creativity & Innovation / Problem solving

Attention to detail / rigor

Transversal Skills: (Please select up to 5 skills)

Analytical Ability

Ability to develop and adapt a process

Ability to develop and leverage networks

Choose an item.

Choose an item.

Education Level:

Bachelor Degree or equivalent

Experience Level

At least 7 years

Fluent in English

Team player

Strong analytical skills

Quality oriented and well organized

Willing to work under pressure and mission oriented

Excellent Oral and Written Communication Skills, Motivational Skills, Results-Oriented

Scala/Spark Developer: 5+ yrs experience in designing scalable data pipelines with Scala, Spark, Hadoop, Kafka. Skilled in data formats(Avro,Parquet),HDFS, SQL, NoSQL. Proficient in troubleshooting, optimization, delivering reliable bigdata solutions

Required Candidate profile

Scala/Spark Developer with 5+ years' experience in building scalable data pipelines using Scala, Spark, Hadoop, Kafka. Skilled in SQL, NoSQL, HDFS, and optimizing big data processes for reliability.