● Knowledge of Excel,SQL and writing code in python.
● Experience with Reporting and Business Intelligence tools like Tableau, Metabase.
● Exposure with distributed analytics processing technologies is desired (e.g. Hive, Spark).
● Experience with Clevertap, Mixpanel, Amplitude, etc.
● Excellent communication skills.
● Background in market research and project management.
● Attention to detail.
● Problem-solving aptitude.
About Leading StartUp Focused On Employee Growth
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- At least 4 to 7 years of relevant experience as Big Data Engineer
- Hands-on experience in Scala or Python
- Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
- Strong programming experience in building applications/platform using Scala or Python.
- Experienced in implementing Spark RDD Transformations, actions to implement business analysis
We are specialized in productizing solutions of new technology.
Our vision is to build engineers with entrepreneurial and leadership mindsets who can create highly impactful products and solutions using technology to deliver immense value to our clients.
We strive to develop innovation and passion into everything we do, whether it is services or products, or solutions.
Data Engineer- Senior
Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.
What are you going to do?
Design & Develop high performance and scalable solutions that meet the needs of our customers.
Closely work with the Product Management, Architects and cross functional teams.
Build and deploy large-scale systems in Java/Python.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.
Follow best practices that can be adopted in Bigdata stack.
Use your engineering experience and technical skills to drive the features and mentor the engineers.
What are we looking for ( Competencies) :
Bachelor’s degree in computer science, computer engineering, or related technical discipline.
Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.
Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.
Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.
Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.
Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.
Ability to work with distributed teams in a collaborative and productive manner.
Benefits:
Competitive Salary Packages and benefits.
Collaborative, lively and an upbeat work environment with young professionals.
Job Category: Development
Job Type: Full Time
Job Location: Bangalore
Hiring - Python Developer Freelance Consultant (WFH-Remote)
Greetings from Deltacubes Technology!!
Skillset Required:
Python
Pyspark
AWS
Scala
Experience:
5+ years
Thanks
Bavithra
Basic Qualifications
- Need to have a working knowledge of AWS Redshift.
- Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productized data ingestion and processing pipelines using Spark, Scala, Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal
- Ability to problem-solve and architect in an environment with unclear requirements
We are looking for a savvy Data Engineer to join our growing team of analytics experts.
The hire will be responsible for:
- Expanding and optimizing our data and data pipeline architecture
- Optimizing data flow and collection for cross functional teams.
- Will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
- Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
- Experience with Azure : ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.
Nice to have experience with :
- Big data tools: Hadoop, Spark and Kafka
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow
- Stream-processing systems: Storm
Database : SQL DB
Programming languages : PL/SQL, Spark SQL
Looking for candidates with Data Warehousing experience, strong domain knowledge & experience working as a Technical lead.
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
We are actively seeking a Senior Data Engineer experienced in building data pipelines and integrations from 3rd party data sources by writing custom automated ETL jobs using Python. The role will work in partnership with other members of the Business Analytics team to support the development and implementation of new and existing data warehouse solutions for our clients. This includes designing database import/export processes used to generate client data warehouse deliverables.
- 2+ Years experience as an ETL developer with strong data architecture knowledge around data warehousing concepts, SQL development and optimization, and operational support models.
- Experience using Python to automate ETL/Data Processes jobs.
- Design and develop ETL and data processing solutions using data integration tools, python scripts, and AWS / Azure / On-Premise Environment.
- Experience / Willingness to learn AWS Glue / AWS Data Pipeline / Azure Data Factory for Data Integration.
- Develop and create transformation queries, views, and stored procedures for ETL processes, and process automation.
- Document data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance.
- Work with the data analytics team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake and then upon transformation, and transparently build lessons learned into future data quality assessments
- Solid experience with data modeling, business logic, and RESTful APIs.
- Solid experience in the Linux environment.
- Experience with NoSQL / PostgreSQL preferred
- Experience working with databases such as MySQL, NoSQL, and Postgres, and enterprise-level connectivity experience (such as connecting over TLS and through proxies).
- Experience with NGINX and SSL.
- Performance tune data processes and SQL queries, and recommend and implement data process optimization and query tuning techniques.