Data Engineer at Telstra · Bengaluru (Bangalore), Hyderabad, Pune · 3 - 7 years · Profitable · Posted 27 Apr 2023
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.

About Telstra
About
We believe it’s people who give purpose to our technology. So we’re committed to staying close to our customers and providing them the best experience.
And delivering the best tech.
On the best network.
Because our purpose is to build a connected future so everyone can thrive.
We build technology and content solutions that are simple and easy to use, including Australia’s largest and fastest national mobile network.
That’s why we strive to serve and know our customers better than anyone else – offering a choice of not just digital connection, but digital content as well.
And that’s why we have an international presence spanning 15 countries, including China.
In the 21st century, opportunity belongs to connected businesses, governments, communities and individuals.
As Australia’s leading telecommunications and information services company, Telstra is proud to be helping our customers improve the ways in which they live and work through connection.
Company video


Photos
Connect with the team
Similar jobs (10)
Job Description:
We are seeking a skilled Senior Data Engineer with expertise in Databricks to join our dynamic data team. The ideal candidate will design, build, and maintain scalable data pipelines and architectures to support our organization's data-driven initiatives and leverage Databricks to process large-scale datasets, optimize data workflows, enable advanced analytics and machine learning, and integrate Power BI for data visualization and reporting.
Key Responsibilities
· 5-8 years of professional work experience in a relevant field
· Proficient in Microsoft Fabric platform, Azure Databricks, ADF, Delta Lake, SQL Data Warehouse, Unity Catalog.
· Good Experience on Microsoft Dynamics 365
· Experience/ prior knowledge on semi structure data and Structured Streaming, Azure synapse, data lake, data warehouse.
· Proficient in creating Azure Data Factory pipelines for ETL/ELT processing; copy activity, custom Azure development etc.
· Good knowledge of SQL and Python for data manipulation, transformation, and analysis
· Understand business requirements to set functional specifications for reporting applications
- Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines using Databricks, Apache Spark, and other cloud-based technologies.
- Data Integration: Ingest, transform, and integrate data from diverse sources, including APIs, databases, streaming platforms, and third-party systems, into Databricks for analytics and reporting.
- Power BI Integration: Develop and optimize data models and datasets in Databricks for use in Power BI, ensuring efficient data connections and high-quality visualizations.
- Performance Optimization: Optimize data workflows, API calls, and queries on Databricks and Power BI for performance, cost-efficiency, and scalability.
- Data Modeling: Build and maintain data models to support business requirements, ensuring data quality, consistency, and accessibility for analytics and reporting.
- Cloud Integration: Implement data solutions on cloud platforms (e.g., AWS, Azure, GCP) integrated with Databricks, Power BI, and API ecosystems.
- Security & Compliance: Implement data governance, security, and compliance best practices within Databricks, Power BI, and API environments.
- Technical Skills:
- Proficiency in Databricks, including Delta Lake, Spark SQL.
- Strong programming skills in Python, Scala, or Java.
- Experience with Apache Spark for big data processing.
- Knowledge of SQL for querying and transforming data.
- Proficiency in Power BI for creating data models, DAX queries, and interactive dashboards.
Preferred Qualifications
- Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
Experience with real-time data processing and streaming
Company: Wissen Technology
Position: Databricks Engineer
Experience: 6-10 Years
Location: Bengaluru/Mumbai
Employment Type: Full-time
About Wissen Technology
Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.
With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.
At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.
Key Responsibilities
- Design, develop, and maintain scalable data processing applications using Python, PySpark, and Spark.
- Develop and optimize data pipelines and workflows on Databricks.
- Collaborate with data engineers, data scientists, business stakeholders, and other technical teams to understand requirements and deliver high-quality solutions.
- Ensure data integrity, quality, performance, and reliability across data processing pipelines.
- Write clean, maintainable, scalable, and efficient code following established coding standards and best practices.
- Perform data analysis and implement appropriate data validation and quality checks.
- Monitor, troubleshoot, and optimize performance issues across data workflows and pipelines.
- Work with relational databases and develop efficient SQL queries for data extraction and transformation.
- Participate in code reviews, testing, deployment, and continuous improvement of data engineering solutions.
- Use Git/version control and follow established software development and deployment practices.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Proven experience as a Databricks Developer, Data Engineer, or similar role.
- Strong hands-on expertise in Apache Spark and PySpark.
- Strong programming skills in Python; experience with Scala is an advantage.
- Strong proficiency in SQL and hands-on experience with relational databases.
- Practical experience developing and optimizing data pipelines and data processing applications.
- Familiarity with Git and version control systems.
- Strong understanding of data engineering concepts, data transformation, and data validation.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Technical Stack
- PySpark
- Databricks
- Microsoft Azure
- SQL
- Kubernetes
Key Responsibilities & Expectations
- Must be self-driven, proactive, and capable of independently delivering high-quality solutions.
- Demonstrate strong ownership and accountability for assigned tasks and deliverables.
- Ability to work with minimal supervision while consistently meeting project objectives and quality standards.
Job Title : Senior Data Engineer – Databricks
Experience : 14 to 20 Years
Location : HSR Layout, Bangalore
Work Mode : Hybrid – 3 Days WFO
Shift : 11:30 AM – 07:30 PM IST
Positions : 2
Notice Period : Immediate Joiners Only
Interview : 1 Technical Round + 2 Client Rounds
Role Overview :
We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.
The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.
Must-Have Skills :
- 14 to 20 years of Data Engineering experience
- Databricks & Apache Spark / PySpark
- Python & SQL
- AWS Cloud
- Lakehouse Architecture
- ETL / ELT & Distributed Data Processing
- Batch & Streaming Pipelines
- Data Pipeline Optimization & Data Modeling
- CDC & Incremental Processing
- Git, CI/CD & Testing
- Data Quality, Monitoring & Observability
- Technical Leadership & Stakeholder Management
Key Responsibilities :
- Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
- Own data products from design through production.
- Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
- Optimize pipelines for performance, scalability, reliability, and cost.
- Design scalable data architectures and data models.
- Implement data quality, monitoring, lineage, and CI/CD practices.
- Lead technical discussions and mentor engineering teams.
- Collaborate with business stakeholders, architects, product owners, and engineering teams.
- Remain hands-on while providing technical leadership.
Ideal Candidate :
A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.
🔴 Super Urgent : Only Bangalore-based immediate joiners.
Job Description – Data Engineer
Role: Data Engineer
Experience: 9+ Years
Location: Bangalore / Hyderabad
Notice Period: Immediate to 15 Days
Interview Process: 1st Round – Virtual | 2nd Round – F2F
Mandatory Skills
- Python
- PySpark
- SQL
- Azure Data Engineering
Job Description
We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.
Key Responsibilities
- Develop and maintain scalable data engineering solutions using Azure.
- Build and optimize data processing pipelines using PySpark and Python.
- Write complex SQL queries for data extraction and transformation.
- Work with Azure data services and cloud-based data platforms.
- Perform data processing, transformation, and integration.
- Troubleshoot data pipeline and production issues.
- Collaborate with technical and business teams to deliver data solutions.
Preferred: Immediate to 15 Days joiners.
Job Title: Java + Apache Spark Developer
Experience: 5–10 Years
Location: Mumbai
Work Mode: Hybrid (3 Days WFO)
Job Description:
Looking for hands-on Java Developers with strong experience in Apache Spark and distributed data processing. Candidates should have experience building and optimizing data pipelines, working with Spark SQL, and using Snowflake or Databricks for enterprise data engineering solutions.
Mandatory Skills:
Java, Apache Spark, Spark SQL, Snowflake / Databricks, SQL, ETL.
8-12 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.
• Bachelor’s degree in computer science, Information Technology, or related field.
• Strong proficiency in PySpark, Python, SQL.
• Strong experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with performance tuning of data pipelines and workflow
• Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.
• Experience with data modeling, ETL processes, Delta Lake and data warehousing.
• Experience on Delta Live Tables, Autoloader & Unity Catalog.
Preferred - Knowledge of the insurance industry and its data requirements.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication and problem-solving skills to work effectively with diverse teams
• Excellent problem-solving skills and ability to work under tight deadlines.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python, Hadoop, and Apache Spark.
- Develop efficient data processing and transformation workflows for large datasets.
- Write, optimize, and maintain complex SQL queries and PL/SQL procedures.
- Perform data extraction, transformation, and loading (ETL) from multiple data sources.
- Work with structured and unstructured data to support analytics and reporting requirements.
- Optimize data pipelines and queries for performance, scalability, and reliability.
- Ensure data quality, consistency, security, and integrity across data platforms.
- Collaborate with cross-functional teams to understand business requirements and deliver data engineering solutions.
- Use Git, automation, and CI/CD practices to support development and deployment.
Required Skills
- 4.5–10 years of experience in software development or data engineering.
- Strong proficiency in AWS
- Hands-on experience with Hadoop and Apache Spark.
- Good knowledge of SQL and PL/SQL, including query optimization and stored procedures.
- Experience in ETL development, data processing, and data pipeline design.
- Understanding of data warehousing concepts and distributed computing.
- Strong problem-solving, debugging, and performance-tuning skills.
Senior Data Engineer – PySpark & Oracle
Experience: 7+ Years
Location: Bangalore
Notice Period: Immediate to 10 Days
Key Skills:
- Strong expertise in Data Modeling, Data Design & Modernization
- Primary skills: PySpark, Oracle SQL/PLSQL
- Secondary skills: Python, ETL & Data Pipelines
- Experience with Kafka and Hadoop
- Exposure to AWS / Azure / GCP
- Good knowledge of Git and JIRA
Roles & Responsibilities:
- Design, develop, and modernize scalable data models and data architecture.
- Develop and optimize data processing solutions using PySpark and Oracle SQL/PLSQL.
- Build and maintain robust ETL workflows and data pipelines.
- Work with Kafka, Hadoop, and cloud platforms for data processing and integration.
- Perform data transformation, optimization, and performance tuning.
- Collaborate with technical teams on data design, development, testing, and deployment.
Job Summary
We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.
Technical Skills
- Strong hands-on experience in Python and PySpark development.
- Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
- Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
- Experience with Power BI Data Modeling and Semantic Layer development.
- Proficiency in DAX (Data Analysis Expressions).
- Experience designing and managing Semantic Models in Power BI.
- Strong SQL skills and experience working with large datasets.
- Knowledge of data warehousing concepts and best practices.
Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Exposure to modern data platforms like Databricks.
- Understanding of data governance and data quality frameworks.














