37+ Hadoop Jobs in Pune | Hadoop Job openings in Pune

Role**

Ab Initio Developer

Required Technical Skill Set**

               Ab Initio, GDE, EME Conduct IT and Hadoop, Spark

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

(Ideally should not be more than 3-5)

• Should have very good knowledge and implementation experience about ETL/ELT methodology, Data Quality Strategy and Data Principles
• Experience in Project Code Management Tools(Repository/Maven/Version Control/Servers)
• Good knowledge Database Concepts (SQL)
• Good Exposure of Project management tools (JIRA, Confluence)
• Working experience in Agile methodology (Scrum/Kanban)

Work Mode: Hybrid

Need B.Tech, BE, M.Tech, ME candidates - Mandatory

Must-Have Skills:

● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.

● Minimum of 3 years of proven experience as a Data Engineer.

● Strong proficiency in Python programming language and SQL.

● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.

● Good comprehension and critical thinking skills.

● Kindly note Salary bracket will vary according to the exp. of the candidate - 

- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA

- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA

- Experience more than 8 yrs - Salary upto 40 LPA

Job Summary:

We are seeking a skilled Senior Data Engineer with expertise in application programming, big data technologies, and cloud services. This role involves solving complex problems, designing scalable systems, and working with advanced technologies to deliver innovative solutions.

Key Responsibilities:

• Develop and maintain scalable applications using OOP principles, data structures, and problem-solving skills.
• Build robust solutions using Java, Python, or Scala.
• Work with big data technologies like Apache Spark for large-scale data processing.
• Utilize AWS services, especially Amazon Redshift, for cloud-based solutions.
• Manage databases including SQL, NoSQL (e.g., MongoDB, Cassandra), with Snowflake as a plus.

Qualifications:

• 5+ years of experience in software development.
• Strong skills in OOPS, data structures, and problem-solving.
• Proficiency in Java, Python, or Scala.
• Experience with Spark, AWS (Redshift mandatory), and databases (SQL/NoSQL).
• Snowflake experience is good to have.

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes TVARIT one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

We are seeking a skilled and motivated senior Data Engineer from the manufacturing Industry with over four years of experience to join our team. The Senior Data Engineer will oversee the department’s data infrastructure, including developing a data model, integrating large amounts of data from different systems, building & enhancing a data lake-house & subsequent analytics environment, and writing scripts to facilitate data analysis. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives.

Skills Required:

• Experience in the manufacturing industry (metal industry is a plus)
• 4+ years of experience as a Data Engineer
• Experience in data cleaning & structuring and data manipulation
• Architect and optimize complex data pipelines, leading the design and implementation of scalable data infrastructure, and ensuring data quality and reliability at scale
• ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines.
• Python: Strong proficiency in Python programming for data manipulation, transformation, and automation.
• Experience in SQL and data structures
• Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache, and NoSQL databases.
• Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform.
• Proficient in data management and data governance
• Strong analytical experience & skills that can extract actionable insights from raw data to help improve the business.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Nice To Have:

• Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
• Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud.
• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field from top-tier Indian Institutes of Information Technology (IIITs).
• Benefits And Perks
• A culture that fosters innovation, creativity, continuous learning, and resilience
• Progressive leave policy promoting work-life balance
• Mentorship opportunities with highly qualified internal resources and industry-driven programs
• Multicultural peer groups and supportive workplace policies
• Annual workcation program allowing you to work from various scenic locations
• Experience the unique environment of a dynamic start-up

Why should you join TVARIT ?

Working at TVARIT, a deep-tech German IT startup, offers a unique blend of innovation, collaboration, and growth opportunities. We seek individuals eager to adapt and thrive in a rapidly evolving environment.

If this opportunity excites you and aligns with your career aspirations, we encourage you to apply today!

• KSQL
• Data Engineering spectrum (Java/Spark)
• Spark Scala / Kafka Streaming
• Confluent Kafka components
• Basic understanding of Hadoop

About Telstra

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries, including In India where we’re building a new Innovation and Capability Centre (ICC) in Bangalore.

We’re growing, fast, and for you that means many exciting opportunities to develop your career at Telstra. Join us on this exciting journey, and together, we’ll reimagine the future.

Why Telstra?

• We're an iconic Australian company with a rich heritage that's been built over 100 years. Telstra is Australia's leading Telecommunications and Technology Company. We've been operating internationally for more than 70 years.
• International presence spanning over 20 countries.
• We are one of the 20 largest telecommunications providers globally
• At Telstra, the work is complex and stimulating, but with that comes a great sense of achievement. We are shaping the tomorrow's modes of communication with our innovation driven teams.

Telstra offers an opportunity to make a difference to lives of millions of people by providing the choice of flexibility in work and a rewarding career that you will be proud of!

About the team

Being part of Networks & IT means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy.

With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.

Focus of the role

Any new engineer who comes into data chapter would be mostly into developing reusable data processing and storage frameworks that can be used across data platform.

About you

To be successful in the role, you'll bring skills and experience in:-

Essential 

• Hands-on experience in Spark Core, Spark SQL, SQL/Hive/Impala, Git/SVN/Any other VCS and Data warehousing
• Skilled in the Hadoop Ecosystem(HDP/Cloudera/MapR/EMR etc)
• Azure data factory/Airflow/control-M/Luigi
• PL/SQL
• Exposure to NOSQL(Hbase/Cassandra/GraphDB(Neo4J)/MongoDB)
• File formats (Parquet/ORC/AVRO/Delta/Hudi etc.)
• Kafka/Kinesis/Eventhub

Highly Desirable

Experience and knowledgeable on the following:

• Spark Streaming
• Cloud exposure (Azure/AWS/GCP)
• Azure data offerings - ADF, ADLS2, Azure Databricks, Azure Synapse, Eventhubs, CosmosDB etc.
• Presto/Athena
• Azure DevOps
• Jenkins/ Bamboo/Any similar build tools
• Power BI
• Prior experience in building or working in team building reusable frameworks,
• Data modelling.
• Data Architecture and design principles. (Delta/Kappa/Lambda architecture)
• Exposure to CI/CD
• Code Quality - Static and Dynamic code scans
• Agile SDLC      

If you've got a passion to innovate, succeed as part of a great team, and looking for the next step in your career, we'd welcome you to apply!

___________________________

We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.

Technical/Core skills

1. Minimum 3 yrs of exp in Informatica Big data Developer(BDM) in Hadoop environment.
2. Have knowledge of informatica Power exchange (PWX).
3. Minimum 3 yrs of exp in big data querying tool like Hive and Impala.
4. Ability to designing/development of complex mappings using informatica Big data Developer.
5. Create and manage Informatica power exchange and CDC real time implementation
6. Strong Unix knowledge skills for writing shell scripts and troubleshoot of existing scripts.
7. Good knowledge of big data platforms and its framework.
8. Good to have an experience in cloudera data platform (CDP)
9. Experience with building stream processing systems using Kafka and spark
10. Excellent SQL knowledge

Soft skills :

1. Ability to work independently 
2. Strong analytical and problem solving skills
3. Attitude of learning new technology
4. Regular interaction with vendors, partners and stakeholders

4-5 years of overall experience in software development.
- Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
- Experience on Hive, Pig, Sqoop, Flume and/or Mahout
- Experience on NO-SQL – HBase, Cassandra, MongoDB
- Hands on experience with Spark development,  Knowledge of Storm, Kafka, Scala
- Good knowledge of Java
- Good background of Configuration Management/Ticketing systems like Maven/Ant/JIRA etc.
- Knowledge around any Data Integration and/or EDW tools is plus
- Good to have knowledge of  using Python/Perl/Shell

Please note - Hbase hive and spark are must.

Key Responsibilities : ( Data Developer Python, Spark)

Exp : 2 to 9 Yrs 

Development of data platforms, integration frameworks, processes, and code.

Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages

Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.

Elaborate stories in a collaborative agile environment (SCRUM or Kanban)

Familiarity with cloud platforms like GCP, AWS or Azure.

Experience with large data volumes.

Familiarity with writing rest-based services.

Experience with distributed processing and systems

Experience with Hadoop / Spark toolsets

Experience with relational database management systems (RDBMS)

Experience with Data Flow development

Knowledge of Agile and associated development techniques including:

n 

• 6+ years of recent hands-on Java development
• Developing data pipelines in AWS or Google Cloud
• Java, Python, JavaScript programming languages
• Great understanding of designing for performance, scalability, and reliability of data intensive application
• Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
• In-depth understanding of object oriented programming concepts and design patterns
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Understanding of full software development life cycle, agile development and continuous integration
• Experience in Agile methodologies including Scrum and Kanban

Job Description for :

Role: Data/Integration Architect

Experience – 8-10 Years

Notice Period: Under 30 days

Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.

Core Skillsets:

Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.

Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop

Should have worked on Agile

Sound communication skills

Should be open to learning new technologies based on business needs on the job

Additional Skills:

Awareness of other data/integration platforms like Mulesoft, Camel

Awareness Hadoop, Snowflake, S3

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients

• Core Java: advanced level competency, should have worked on projects with core Java development.

• Linux shell : advanced level competency, work experience with Linux shell scripting, knowledge and experience to use important shell commands

• Rdbms, SQL: advanced level competency, Should have expertise in SQL query language syntax, should be well versed with aggregations, joins of SQL query language.

• Data structures and problem solving: should have ability to use appropriate data structure.

• AWS cloud : Good to have experience with aws serverless toolset along with aws infra

• Data Engineering ecosystem : Good to have experience and knowledge of data engineering, ETL, data warehouse (any toolset)

• Hadoop, HDFS, YARN : Should have introduction to internal working of these toolsets

• HIVE, MapReduce, Spark: Good to have experience developing transformations using hive queries, MapReduce job implementation and Spark Job Implementation. Spark implementation in Scala will be plus point.

• Airflow, Oozie, Sqoop, Zookeeper, Kafka: Good to have knowledge about purpose and working of these technology toolsets. Working experience will be a plus point here.

Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Mandatory Skills:

• Strong in SQL development
• Hands-on at least one scripting language - preferably shell scripting
• Development experience in Data warehouse projects

Opportunities:

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

ears of Exp: 3-6+ Years 
Skills: Scala, Python, Hive, Airflow, Spark

Languages: Java, Python, Shell Scripting

GCP: BigTable, DataProc,  BigQuery, GCS, Pubsub

OR
AWS: Athena, Glue, EMR, S3, Redshift

MongoDB, MySQL, Kafka

Platforms: Cloudera / Hortonworks
AdTech domain experience is a plus.
Job Type - Full Time 

Location:  Pune/Nagpur,Goa,Hyderabad/Bangalore

Job Requirements:

• 9 years and above of total experience preferably in bigdata space.
• Creating spark applications using Scala to process data.
• Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
• Experience in spark job performance tuning and optimizations.
• Should have experience in processing data using Kafka/Pyhton.
• Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
• Should be proficient in writing SQL queries to process data in Data Warehouse.
• Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
• Experience on AWS services like EMR.

Role Summary/Purpose:

We are looking for a Developer/Senior Developers to be a part of building advanced analytical platform leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in resolving and influencing high-level decisions.

Requirements:

• The candidate must be a self-starter, who can work under general guidelines in a fast-spaced environment.
• Overall minimum of 4 to 8 year of software development experience and 2 years in Data Warehousing domain knowledge
• Must have 3 years of hands-on working knowledge on Big Data technologies such as Hadoop, Hive, Hbase, Spark, Kafka, Spark Streaming, SCALA etc…
• Excellent knowledge in SQL & Linux Shell scripting
• Bachelors/Master’s/Engineering Degree from a well-reputed university.
• Strong communication, Interpersonal, Learning and organizing skills matched with the ability to manage stress, Time, and People effectively
• Proven experience in co-ordination of many dependencies and multiple demanding stakeholders in a complex, large-scale deployment environment
• Ability to manage a diverse and challenging stakeholder community
• Diverse knowledge and experience of working on Agile Deliveries and Scrum teams.

Responsibilities

• Should works as a senior developer/individual contributor based on situations
• Should be part of SCRUM discussions and to take requirements
• Adhere to SCRUM timeline and deliver accordingly
• Participate in a team environment for the design, development and implementation
• Should take L3 activities on need basis
• Prepare Unit/SIT/UAT testcase and log the results
• Co-ordinate SIT and UAT Testing. Take feedbacks and provide necessary remediation/recommendation in time.
• Quality delivery and automation should be a top priority
• Co-ordinate change and deployment in time
• Should create healthy harmony within the team
• Owns interaction points with members of core team (e.g.BA team, Testing and business team) and any other relevant stakeholders

• 4-10 years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications.
• Strong coding experience in Java is mandatory
• Good aptitude, strong problem solving abilities, and analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.
• Should have good working experience on
• o Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• o Kafka
• o J2EE Frameworks (Spring/Hibernate/REST)
• o Spark Streaming or any other streaming technology.
• Strong coding experience in Java is mandatory
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories' execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality.
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counter-parts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.