Capco Logo

Capco

Data Engineer

Posted An Hour Ago
Be an Early Applicant
Hybrid
Pune, Maharashtra, IND
Entry level
Hybrid
Pune, Maharashtra, IND
Entry level
Build and support enterprise production data pipelines using Python, PySpark, Spark SQL, Databricks, Azure, ADLS, Delta Lake, and lakehouse architecture. Responsibilities include batch processing, ETL development, REST API integration, CI/CD, Terraform/IaC, and Spark performance optimization through partitioning, caching, distributed processing, and exception handling.
The summary above was generated by AI

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Role: Data Engineer 

Python, PySpark, Spark SQL, Databricks, Azure, CI/CD, Rest API, ETL Pipelines, Delta Lakes & Lakehouse Archiecture,

Spark fundamentals: Partitioning, caching, distributed processing, performance enhancement, Exception handling

Batch Processing, ADLS,

Terraform/IaC, Enterprise production pipeline development/support


Similar Jobs at Capco

10 Days Ago
Hybrid
Pune, Maharashtra, IND
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, develop, optimize, and support scalable batch and real-time data pipelines using Kafka, Spark, Scala/PySpark, SQL, Python, and orchestration tools. Build reliable ETL/ELT workflows, optimize distributed processing, manage cloud data lake storage, troubleshoot production incidents, perform root cause analysis, conduct code reviews, and mentor junior engineers. Independently deliver complex data engineering solutions with emphasis on scalability, performance, reliability, and maintainability.
Top Skills: Amazon S3Apache AirflowApache KafkaApache NifiSparkAzure Data FactoryAzure Data Lake StorageData LakesPysparkPythonScalaSQL
An Hour Ago
Hybrid
Pune, Maharashtra, IND
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Develop and support enterprise production data pipelines using Python, PySpark, Spark SQL, Databricks, Azure, ADLS, Delta Lake, and lakehouse architecture. Responsibilities include batch processing, ETL development, REST API integration, CI/CD, Terraform-based infrastructure, and Spark performance optimization through partitioning, caching, distributed processing, and exception handling.
Top Skills: AdlsSparkCi/CdDatabricksDelta LakeETLInfrastructure As CodeLakehouse ArchitectureAzurePysparkPythonRest ApiSpark SqlTerraform
9 Days Ago
Hybrid
Pune, Maharashtra, IND
Entry level
Entry level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, develop, and optimize scalable big data applications and ETL/ELT pipelines using Scala, Apache Spark, and distributed data technologies. Build reusable processing frameworks, tune Spark jobs, troubleshoot production issues, implement data-quality monitoring, and collaborate with technical and business teams. Apply software engineering practices including testing, code reviews, Git, and CI/CD while working with Hadoop, HDFS, Hive, Kafka, and Spark SQL.
Top Skills: AirflowSparkAvroAWSAzureCi/CdDatabricksDelta LakeDockerGCPGitHadoopHdfsHiveJSONKafkaKubernetesParquetScalaSpark SqlSQL

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account