spark developer

Talan

<div>
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 <strong>
  Talan &ndash; Positive Innovation
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  <br/>
 </strong>
 Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of &euro;850M, we are committed to delivering impactful, future-ready solutions.
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 <strong>
  Talan at a Glance
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 </strong>
 Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we&rsquo;ve built a strong presence in the IT and consulting landscape, and we&rsquo;re on track to reach &euro;1 billion in revenue this year.
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 <strong>
  Our Core Areas of Expertise
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   <strong>
    Data &amp; Technologies:
   </strong>
   We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
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  </li>
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    Cloud &amp; Application Services:
   </strong>
   We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
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  </li>
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    Management &amp; Innovation Consulting:
   </strong>
   We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
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 <strong>
  We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
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 </strong>
 <strong>
  Job Description
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 </strong>
 As a
 <strong>
  Backend Spark developer
 </strong>
 , your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
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 We need somebody like you to help us in different fronts:
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 <ul>
  <li>
   You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
  </li>
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   You will use Scrum methodology, and be part of a high performance team
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   You will document your solutions in the tools: JIRA, Confluence, ALM
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   You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
  </li>
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   You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
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   You will collaborate with cross-functional and cross-country teams to integrate data from various sources
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   You will  develop and maintain data hub and data pipelines in microservices architecture
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   You will collaborate with other developers to maintain and improve CI/CD pipelines
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  </li>
 </ul>
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 <strong>
  WHAT WE ARE LOOKING FOR
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 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science or a related field.
  </li>
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   1+ years of experience in data/software engineering (preferable in banking)
  </li>
  <li>
   Experience with Integration Solutions (using API and Microservices)
  </li>
  <li>
   Programming backend applications with BigData technologies(
   <strong>
    Apache Spark
   </strong>
   )
  </li>
  <li>
   Agile approach for software development
  </li>
  <li>
   Continuous Integration (Git, GitHub)
  </li>
  <li>
   Knowledge of SQL databases
  </li>
  <li>
   English (at least B2+)
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  </li>
 </ul>
 <strong>
  Qualifications
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 <u>
  Preferred qualifications
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 <ul>
  <li>
   Git hub actions
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   Scala or Python
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   Bash scripting
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   ControlM, AirFlow
  </li>
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   Software development life cycle (HP ALM,..)
  </li>
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   Basics of cybersecurity &amp; Quality (sonar&hellip;)
  </li>
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   Basics of Cloud computing (Docker, Kubernetes, S3, Azure, AWS, EMR, DataBricks)
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   SOA Architecture
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  </li>
 </ul>
 <strong>
  Additional Information
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 </strong>
 <strong>
  What do we offer you?
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 <ul>
  <li>
   Full-time contract.
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   Smart Office Pack so that you can work comfortably from home.
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   Training and career development.
  </li>
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   Benefits and perks such as
   <strong>
    private medical insurance
   </strong>
   , life insurance.
  </li>
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   Possibility to be part of a multicultural team and work on international projects.
  </li>
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   <strong>
    This is a hybrid position based in Warsaw, Poland.  Relocation is mandatory.
   </strong>
  </li>
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   Possibility to manage work-permits.
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  </li>
 </ul>
 <strong>
  If you are passionate about development &amp; tech, we want to meet you!
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 </strong>
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 <br/>
 Talan Spain&rsquo;s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company&rsquo;s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
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</div>


Junior Data Engineer  (Relocation to Poland)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><ul><li>Strong proficiency in <b>Python</b> programming.</li>
<li>Hands-on experience with <b>PySpark</b> and <b>Apache Spark</b>.</li>
<li>Knowledge of <b>Big Data</b> technologies (Hadoop, Hive, Kafka, etc.).</li>
<li>Experience with <b>SQL</b> and relational/non-relational databases.</li>
<li>Familiarity with <b>distributed computing</b> and <b>parallel processing</b>.</li>
<li>Understanding of <b>data engineering</b> best practices.</li>
<li>Experience with <b>REST APIs</b>, <b>JSON/XML</b>, and data serialization.</li></ul><br>
<br>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>385715</div>
</div><div><div><b>Desired Skills</b></div>
<div>Digital : PySpark | Python</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Python/Pyspark, Bigquery with GCP

Citi

<div><p>This is a <b>data engineer position</b> - a programmer responsible for the design, development implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner in coordination with the Data &amp; Analytics team.</p><p></p><p>
The overall objective is defining optimal solutions to data collection, processing, and warehousing. Must be a Spark Java development expertise in big data processing, Python and Apache spark particularly within banking &amp; finance domain. He/She designs, codes and tests data systems and works on implementing those into the internal infrastructure.</p><p></p><p><b>
Responsibilities:
</b></p><p></p><ul><li>Ensuring high quality software development, with complete documentation and traceability</li><li>
Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large scale financial data</li><li>
Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance</li><li>
Ensure efficient data storage and retrieval using Big Data</li><li>
Implement best practices for spark performance tuning including partition, caching and memory management</li><li>
Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins)</li><li>
Work on batch processing frameworks for Market risk analytics</li><li>
Promoting unit/functional testing and code inspection processes</li><li>
Work with business stakeholders and Business Analysts to understand the requirements</li><li>
Work with other data scientists to understand and interpret complex datasets</li></ul><p></p><p><b>
Qualifications:</b></p><p></p><ul><li>
5- 8 Years of experience in working in data eco systems.</li><li>
4-5 years of hands-on experience in <b>Hadoop</b>, <b>Scala</b>, <b>Java</b>, <b>Spark</b>, <b>Hive</b>, Kafka, Impala, Unix Scripting and other Big data frameworks.</li><li>
3+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase</li><li>
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL</li><li>
Data Integration, Migration &amp; Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design &amp; build, handling, reconciliation and normalization</li><li>
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)</li><li>
Experienced in working with large and multiple datasets and data warehouses</li><li>
Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures, and datasets.</li><li>
Strong analytic skills and experience working with unstructured datasets</li><li>
Ability to effectively use complex analytical, interpretive, and problem-solving techniques</li><li>
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain &ndash; Git, BitBucket, Jira</li><li>
Experience with external cloud platform such as OpenShift, AWS &amp; GCP</li><li>
Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos)</li><li>
Experienced in integrating search solution with middleware &amp; distributed messaging - Kafka</li><li>
Highly effective interpersonal and communication skills with tech/non-tech stakeholders.</li><li>
Experienced in software development life cycle and good problem-solving skills.</li><li>
Excellent problem-solving skills and strong mathematical and analytical mindset</li><li>
Ability to work in a fast-paced financial environment</li></ul><p></p><p><b>
Education:</b></p><p></p><ul><li>
Bachelor&rsquo;s/University degree or equivalent experience in computer science, engineering, or similar domain</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Data Architecture<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Engineer - Python and Spark

Indium software

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>12/18/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Permanent</b><b>
</b></div></div><div><p>RSD NO</p>
<div><b>12247</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Hyderabad</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Telangana</b><b>
</b></div></div><div><p>Country</p>
<div><b>India</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>500001</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p></p><div><div>Key Responsibilities:<br>
</div><ul><li>Design, develop, and maintain efficient ETL/ELT data pipelines.</li><li>Work with large-scale data processing using Spark and Big Data frameworks.</li><li>Write optimized SQL queries for data extraction, transformation, and analysis.</li><li>Collaborate with cross-functional teams including data analysts, scientists, and business stakeholders.</li><li>Ensure data quality, reliability, and performance across systems.</li><li>Contribute to improving existing data infrastructure and workflows.</li></ul><p></p><div><br>
Technical Skills Required:<br>
</div><div>
Programming:<br>
</div><ul><li>Python (Pandas, PySpark preferred)</li></ul><p></p><div><br>
Big Data Tools:<br>
</div><ul><li>Apache Spark</li><li>Hadoop</li><li>Hive (good to have)</li></ul><p></p><div><br>
Databases:<br>
</div><ul><li>SQL (MySQL, PostgreSQL, or similar)</li></ul><p></p><div><br>
Version Control &amp; CI/CD:<br>
</div><ul><li>Git</li><li>Jenkins (good to have)</li></ul><p></p><div><br>
Cloud Platforms (Preferred):<br>
</div><ul><li>AWS / GCP / Azure</li></ul><br>
<p></p>
</div><div><div><div><br>
At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.</div></div><div></div><div><b><br>
Indium do not solicit or accept any form of fees or payment at any stage of the hiring process.</b></div></div></div></div><p></p>

Data Engineer

Anblicks

<div><div>(ReactJS UI, Postgres Data Modeling, Spark Analytics work).</div>
<div></div><ul><li>Team lead with experience leading agile dev teams, guiding them and being a role model to developers in the team (lead by example)</li><li>Must be highly hands-on lead, writing code, leading team, reviewing other developers code, working closely with the architect to implement the proposed design</li><li>5+ years of experience writing enterprise grade Java or Python code (should be highly proficient)</li><li>Solid understanding of data structures and fundamental algorithms (sort, select, search, queue)</li><li>Solid understanding of distributed computing and/or massively parallel processing concepts and frameworks (at least one): Spark, Kafka, MapReduce, Impala</li><li>2+ years of experience writing Spark and Spark SQL routines to process large volumes of data</li><li>2+ years of experience building enterprise data platforms: Data Ingestion, Data Lake, ETL, Data Warehouse, Data Access Patterns/APIs, Reporting</li><li>2+ years of experience building ETL or ELT routines in one or more of the technologies: Spark, Kafka</li><li>Decent data warehousing and data modeling skills</li><li>Experience working in Linux</li><li>Spring Boot/APIs implementation experience is a nice to have</li><li>Azure experience is a nice to have</li><li>Databricks experience is a nice to have</li></ul></div><div></div>

FullStack Developer

Systems Limited

<div><p>We are looking for an experienced <b>ETL PySpark Data Engineer</b> to design, build, and optimize scalable data pipelines.</p>
<h4 class="jobSectionHeader"><b>
Responsibilities</b></h4>
<ul>
<li><p>Design, develop, and maintain <b>ETL pipelines</b> using <b>PySpark</b></p>
</li>
<li><p>Process large-scale structured and semi-structured data efficiently</p>
</li>
<li><p>Build batch and (optional) streaming data pipelines</p>
</li>
<li><p>Perform data ingestion, transformation, and loading from multiple sources</p>
</li>
<li><p>Optimize Spark jobs for performance and scalability</p>
</li>
<li><p>Work with cloud data platforms (Azure / AWS / GCP)</p>
</li>
<li><p>Ensure data quality, reliability, and governance</p>
</li>
<li><p>Collaborate with data analysts, architects, and stakeholders</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Requirement:</b></h4>
<ul>
<li><p>Strong hands-on experience with <b>PySpark</b></p>
</li>
<li><p>Solid understanding of <b>ETL concepts &amp; data warehousing</b></p>
</li>
<li><p>Strong <b>SQL</b> skills</p>
</li>
<li><p>Experience with <b>Spark SQL, DataFrames, and RDDs</b></p>
</li>
<li><p>Familiarity with <b>HDFS, Hive, Delta Lake</b></p>
</li>
<li><p>Experience with <b>cloud services</b> (Azure Data Factory, Databricks, AWS Glue, etc.)</p>
</li>
<li><p>Knowledge of <b>Linux &amp; Git</b></p></li></ul></div><p></p>

Senior Consultant Data Analytics

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.<br>
</p><p>Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 22 sequential quarters of growth with $406.2M in Q2 FY26 revenue, up 4.2% Q-o-Q and 17.6% Y-o-Y growth. Our 26,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the &ldquo;Brand Finance India 100&rdquo; 2025 report. We were also cited as a Leader in the ISG Provider Lens&trade; 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix&reg; Assessment 2025</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p><p>This role involves terminating legacy batch SQL jobs, re-pointing feeds via NDM, and pushing IAM data into a Cyber Data Lake built on Hadoop. The engineer will design and implement push-based, near real-time ingestion pipelines with transformation logic applied during ingestion, enabling scalable, secure, and audit-ready IAM datasets.</p><br>
<p></p>
<ul><li><b>Role: Data Engineer &ndash; IAM Modernization</b></li>
<li><b>Location: Bangalore</b></li>
<li><b>Experience: 2 to 8 years</b></li>
<li><b>Job Type: Full Time Employment</b></li></ul><p><br>
</p><p><br>
<b>What You'll Do:</b></p><br>
<p></p><ul><li>We are looking for a Data Engineer with strong expertise in Hadoop ecosystem, ETL development, and data transformation logic, focused on modernizing IAM data flows.</li>
<li>Modernization &amp; Migration Decommission existing batch SQL jobs and migrate to modern ingestion architecture.
</li><li>Re-point upstream and downstream feeds using NDM for secure data transfers.
</li><li>Onboard IAM datasets into a Cyber Data Lake (Hadoop) with optimized storage formats (Parquet/ORC) and partitioning.
</li><li>Pipeline Development &amp; Transformation Build ETL/ELT pipelines using Spark/Hive to perform transformations during ingestion (schema mapping, normalization, deduplication).
</li><li>Implement push-based near real-time ingestion (event-driven or micro-batch) instead of scheduled pulls.
</li><li>Apply complex IAM-specific transformation logic for identities, accounts (human &amp; non-human), roles, entitlements, and policies.
</li><li>Data Quality &amp; Observability Define and automate data quality checks (completeness, accuracy, referential integrity).
</li><li>Implement monitoring, logging, and alerting for ingestion pipelines and NDM transfers.
</li><li>Performance &amp; Optimization Tune Spark jobs, Hive queries, and storage strategies for scale and cost efficiency.
</li><li>Optimize resource allocation and implement backpressure controls for streaming ingestion.
</li><li>Security &amp; Compliance Enforce least privilege and secure handling of sensitive IAM attributes (PII).
</li><li>Maintain metadata, lineage, and data dictionaries; ensure compliance with audit requirements.</li><br>
</ul>
<p></p><p><b>Expertise You'll Bring:</b></p><br>
<p></p><ul><li>5&ndash;8 years of experience in Data Engineering, with exposure to IAM data and modernization projects. Strong hands-on experience with Hadoop ecosystem: HDFS, Hive, Spark (SQL/Scala/PySpark).
</li><li>Proven experience in ETL/ELT design, data transformation logic, and pipeline optimization.
</li><li>Experience terminating legacy batch SQL jobs and migrating to modern ingestion patterns.
</li><li>Practical knowledge of NDM for secure data transfers.
</li><li>Expertise in push-based ingestion and near real-time data processing.
</li><li>Understanding of IAM concepts: identities, service/non-human accounts, roles, entitlements, policies.
</li><li>Preferred Skills Familiarity with cloud big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc) and lakehouse technologies (Delta/Hudi/Iceberg).
</li><li>Experience with workflow orchestration tools (Airflow, Oozie, Azure Data Factory).
</li><li>Knowledge of Kafka or similar streaming platforms for event-driven ingestion.
</li><li>Proficiency in Python/Scala for Spark jobs and automation.
</li><li>Exposure to IAM platforms (Azure AD/Entra, SailPoint, Okta) and compliance frameworks (SOX, ISO 27001).
</li><li>Core Competencies Modernization mindset: Ability to replace legacy systems with scalable, real-time solutions.
</li><li>Performance optimization: Skilled in tuning distributed jobs and storage for efficiency.</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let&rsquo;s unleash your full potential at Persistent</b></p><br>
<p></p>
<p><b><i>&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>
1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Hadoop,ETL,Python</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Bengaluru, Karnataka, India</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Hadoop,ETL,Python</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>2 to 8 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>164481</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Data Engineer – IAM Modernization

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