Data Engineer - Java/Scala/Spark
4 - 9 yrs
₹10L - ₹30L / yr
Remote, Pune
Skills
PySpark
Data engineering
Big Data
Hadoop
Spark
Apache Kafka
You will work on:
We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications. You will work on cutting-edge cloud-native technologies to crunch terabytes of data into meaningful insights.
What you will do (Responsibilities):
Collaborate with product management & engineering to build highly efficient data pipelines.
You will be responsible for:
- Dealing with large customer data and building highly efficient pipelines
- Building insights dashboards
- Troubleshooting data loss, data inconsistency, and other data-related issues
- Product development environment delivering stories in a scaled agile delivery methodology.
What you bring (Skills):
5+ years of experience in hands-on data engineering & large-scale distributed applications
- Extensive experience in object-oriented programming languages such as Java or Scala
- Extensive experience in RDBMS such as MySQL, Oracle, SQLServer, etc.
- Experience in functional programming languages such as JavaScript, Scala, or Python
- Experience in developing and deploying applications in Linux OS
- Experience in big data processing technologies such as Hadoop, Spark, Kafka, Databricks, etc.
- Experience in Cloud-based services such as Amazon AWS, Microsoft Azure, or Google Cloud Platform
- Experience with Scrum and/or other Agile development processes
- Strong analytical and problem-solving skills
Great if you know (Skills):
- Some exposure to containerization technologies such as Docker, Kubernetes, or Amazon ECS/EKS
- Some exposure to microservices frameworks such as Spring Boot, Eclipse Vert.x, etc.
- Some exposure to NoSQL data stores such as Couchbase, Solr, etc.
- Some exposure to Perl, or shell scripting.
- Ability to lead R&D and POC efforts
- Ability to learn new technologies on his/her own
- Team player with self-drive to work independently
- Strong communication and interpersonal skills
Advantage Cognologix:
- A higher degree of autonomy, startup culture & small teams
- Opportunities to become an expert in emerging technologies
- Remote working options for the right maturity level
- Competitive salary & family benefits
- Performance-based career advancement
About Cognologix:
Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.
We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.
- Health & Wellbeing
- Learn & Grow
- Evangelize
- Celebrate Achievements
- Financial Wellbeing
- Medical and Accidental cover.
- Flexible Working Hours.
- Sports Club & much more.
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Subodh Popalwar
Software Engineer, MemorresFor 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
About Cognologix Technologies
Founded :
2016
Type
Size
Stage :
Bootstrapped
About
Cognologix is a technology and business development firm with a focus on emerging decentralized business models and innovative technologies related to Blockchain, Machine Learning, Conversational Bots, Big Data and Search. We help enterprises to disrupt – both large and medium – by re-imagining their business models and innovate like a start-up. The Cognologix team excels at the ideation, architecture, prototyping and development of cutting edge products.
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Connect with the team
Company social profiles
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Expectations of the role
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Bengaluru (Bangalore)
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₹15L - ₹30L / yr
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Bengaluru (Bangalore)
8 - 10 yrs
₹15L - ₹20L / yr
Spark
Hadoop
Big Data
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Remote only
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Google Cloud Platform (GCP)
Agile/Scrum
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Senior Data Engineer
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Role:
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Total No. of Years:
8+ years of relevant experience
To be onboarded by:
Immediate
Notice Period:
Skills
Mandatory / Desirable
Min years (Project Exp)
Max years (Project Exp)
GCP Exposure
Mandatory Min 3 to 7
BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark
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Mandatory Min 4 to 8
Shell scripting language
Mandatory Min 4 to 8
Python /scala language
Mandatory Min 4 to 8
Airflow/Kubeflow workflow scheduling tool
Mandatory Min 3 to 7
Kubernetes
Desirable 1 to 6
Scala
Mandatory Min 2 to 6
Databricks
Desirable Min 1 to 6
Google Cloud Functions
Mandatory Min 2 to 6
GitHub source control tool
Mandatory Min 4 to 8
Machine Learning
Desirable 1 to 6
Deep Learning
Desirable Min 1to 6
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Remote only
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₹15L - ₹45L / yr
Docker
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Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries. Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.
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- workflow orchestration tools (Argo, Airflow)
- supporting machine learning models in production
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- Superior interpersonal, independent judgment, complex problem-solving skills
- Global orientation, experience working across countries, regions and time zones
Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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₹12L - ₹20L / yr
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5. Experience with cloud platforms like AWS, GCP and Azure.
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1. Communicate with the clients and understand their business requirements.
2. Build, train, and manage your own team of junior data engineers.
3. Assemble large, complex data sets that meet the client’s business requirements.
4. Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including the cloud.
6. Assist clients with data-related technical issues and support their data infrastructure requirements.
7. Work with data scientists and analytics experts to strive for greater functionality.
Skills required: (experience with at least most of these)
1. Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
2. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3. Experience in ETL and Data Warehousing.
4. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
5. Experience with cloud platforms like AWS, GCP and Azure.
6. Experience with workflow management using tools like Apache Airflow.
Read more
NCR (Delhi | Gurgaon | Noida)
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₹25L - ₹40L / yr
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DevOps
Data integration
Data engineering
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Data Platforms (Data Integration) is responsible for envisioning, building and operating the Bank’s data integration platforms. The successful candidate will work out of Gurgaon as a part of a high performing team who is distributed across our two development centers – Copenhagen and Gurugram. The individual must be driven, passionate about technology and display a level of customer service that is second to none.
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- Improving processes and applying best practices
- Contribute in all scrum ceremonies; assuming the role of ‘scum master’ on a rotational basis
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- Flexible on working hours as per business needs
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Remote only
3 - 8 yrs
$24K - $60K / yr
ETL
PySpark
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athena
+9 more
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We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
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Responsibilities
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- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena
To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.
If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.
Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments
Requirements
- Previous experience as a data engineer with the above technologies
Read more
Bengaluru (Bangalore)
3 - 5 yrs
₹6L - ₹12L / yr
Spark
Big Data
Data engineering
Hadoop
Apache Kafka
+5 more
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• Drive the data engineering implementation
• Strong experience in building data pipelines
• AWS stack experience is must
• Deliver Conceptual, Logical and Physical data models for the implementation
teams.
• SQL stronghold is must. Advanced SQL working knowledge and experience
working with a variety of relational databases, SQL query authoring
• AWS Cloud data pipeline experience is must. Data pipelines and data centric
applications using distributed storage platforms like S3 and distributed processing
platforms like Spark, Airflow, Kafka
• Working knowledge of AWS technologies such as S3, EC2, EMR, RDS, Lambda,
Elasticsearch
• Ability to use a major programming (e.g. Python /Java) to process data for
modelling.
• Drive the data engineering implementation
• Strong experience in building data pipelines
• AWS stack experience is must
• Deliver Conceptual, Logical and Physical data models for the implementation
teams.
• SQL stronghold is must. Advanced SQL working knowledge and experience
working with a variety of relational databases, SQL query authoring
• AWS Cloud data pipeline experience is must. Data pipelines and data centric
applications using distributed storage platforms like S3 and distributed processing
platforms like Spark, Airflow, Kafka
• Working knowledge of AWS technologies such as S3, EC2, EMR, RDS, Lambda,
Elasticsearch
• Ability to use a major programming (e.g. Python /Java) to process data for
modelling.
Read more
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Subodh Popalwar
Software Engineer, MemorresFor 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort